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Top 4 Skills for a Data Analyst
 
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https://upgrad.com/data-analytics/ Thanks to the digital revolution, analytics is sweeping across industries in a huge way. Mastering certain data analytics skills can enable you to chart a successful career in this lucrative and rapidly changing domain. Data analytics is changing the way we live - from that app you use to navigate to work every day or the cabs you hail through your phone, or the platforms you order food from, to the online shopping you find yourself doing on weekends. All of this activity generates massive amounts of data. This is where companies who have created these products come in. Analytics is changing the way we also do business. Deriving insights from large volumes of data to enable better decision-making and an even better customer experience has become the norm for competitive firms these days. Which is why being a data analyst in this world pays off well. Through this UpGrad Careers-In-Shorts Series, let us go through all you need to know about data analytics - the most promising career of tomorrow! The first one here is about the 4 core skills that will help you transition to the field of data analytics - a career of the future.
Views: 29919 Rohit Sharma
DM16 Requirements of Clustering in Data Mining
 
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أ.محمود رفيق الفرا مختصر مساق التنقيب عن البيانات Data Mining
Views: 1151 MahmoudRFarra
Data Mining - Clustering
 
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What is clustering Partitioning a data into subclasses. Grouping similar objects. Partitioning the data based on similarity. Eg:Library. Clustering Types Partitioning Method Hierarchical Method Agglomerative Method Divisive Method Density Based Method Model based Method Constraint based Method These are clustering Methods or types. Clustering Algorithms,Clustering Applications and Examples are also Explained.
Data Mining Software Memory Requirements in SPM
 
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www.salford-systems.com data mining software memory requirements in the SPM Salford Predictive Modeler software suite. The SPM software suite components include CART, MARS, TreeNet and RandomForests.
Views: 192 Salford Systems
All you should know about Big Data – Hadoop,Careers,Scope,Modules,Highpaid jobs
 
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Get Recruitment Notifications of all private and govt jobs , Mock test details ,Previous year question papers only at Freshersworld.com – the No.1 jobsite for entry level candidates in India. (To register : http://freshersworld.com?src=Youtube ) – This video is all about “Careers and Training courses for Big Data There are a handful of working definitions for big data, but to me it is most simply put as data sets so large and complex that it becomes difficult or impossible to process them using traditional database management applications. Granted, the term may apply differently to different organizations. For a smaller company, facing hundreds of gigabytes of data for the first time may trigger a need to explore new tools. Other companies that generate tons of transactional data, like UPS, wouldn't flinch with their existing toolsets until they hit tens or hundreds of terabytes. For freshers who wants to start learning big data here are a few tips: 1. Begin with the basics: If you are looking at building a career in big data, you can start with developing the core aptitudes such as curiosity, agility, statistical fluency, research, scientific rigor and skeptical nature. You have to decide which facet of data investigation (data wrangling, management, exploratory analysis, prediction) are you looking at acquiring. The first step to learning big data is to develop basic level of familiarity with programming languages. 2. Experience in programming languages: Begin with developing basic data literacy and an analytic mindset by building knowledge of programming languages such as Java, C++, Pig Latin and HiveQL. Figure out where you want to apply your data analytics skills to describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations. 3. Expertise in Hadoop: Developing knowledge about Hadoop Map-Reduce and Java is essential if you’re looking to be a high-performance data software engineer. 4. What are you looking for? If you are looking for a career switch to big data, begin with developing the skill sets required to work with Hadoop. A well-rounded understanding of Hadoop requires experience in large-scale distributed systems and knowledge of programming languages. 5. Data Analytics Skills: If you want to learn the fundamentals and want to get an indepth understanding of every aspect of Big Data, the resource material provided by Apache’s library is very useful. The Hadoop programme offered by Apache is an open-source software for reliable, scalable, distributed computing. Some of the other programmes offered are HBase Hive, Mahout, Pig ZooKeeper. 6. Online Courses: The big data universe is still very young, to get a well rounded expertise in big data it is important to learn and hone skills related to the subject. Decide on the course based on the skill set you're looking to get. Just by dedicating some time and energy, you can tackle learning big data with these free online classes. Applications of Big Data Big data includes problems that involve such large data sets and solutions that require a complex connecting the dots. You can see such things everywhere. 1. Quora and Facebook use Big data tools to understand more about you and provide you with a feed that you in theory should find it interesting. The fact that the feed is not interesting should show how hard the problem is. 2. Credit card companies analyze millions of transactions to find patterns of fraud. 3. There are similar problems in defense, retail, genomics, pharma, healthcare that requires a solution. The companies offering jobs on Big Data are : Qualcomm India Pvt Ltd, Accenture, Dev Solutions So let us summarize as Big Data is a group of problems and technologies related to the availability of extremely large volumes of data that businesses want to connect and understand. The reason why the sector is hot now is that the data and tools have reached a critical mass. This occurred in parallel with years of education effort that has convinced organizations that they must do something with their data treasure. Freshersworld.com is the No.1 job portal for freshers jobs in India. Check Out website for more Jobs & Careers. http://www.freshersworld.com?src=Youtube Download our app today to manage recruitment when ever and where ever you want : Link :https://play.google.com/store/apps/details?id=com.freshersworld.jobs&hl=en ***Disclaimer: This is just a training video for candidates and recruiters. The name, logo and properties mentioned in the video are proprietary property of the respective organizations. The Preparation tips and tricks are an indicative generalized information. In no way Freshersworld.com, indulges into direct or indirect promotion of the respective Groups or organizations.
Data Analyst Job Description | What 4 Skills Will You Need To Be A Data Analyst?
 
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In this video we are going to define the job description of a data analyst, what a data analyst does, and the best online course to become a data analyst. ► Full Playlist Explaining Data Jargon ( http://bit.ly/2mB4G0N ) ► Top 4 Best Laptops for Data Analysts ( https://youtu.be/Vtk50Um_yxA ) ► Break Into the Data Industry with the best data analytics online learning resources from Edureka! ( http://bit.ly/2yCbsac ) --- affiliate link to help support this channel!^ Currently the average pay for a data analyst is $76,419 on the button, according to glassdoor I receive a lot of questions about what it takes to become a data analyst and what is a data analyst. Clearing up what a data analyst does everyday and what that description means to someone looking to enter the data science industry What will you actually be asked to do on the day to day as a data analyst. ► Top 4 Responsibilities in the Daily Life of a Data Analyst: 1 ) Mathematics Although mathematics only makes up about 20% of the day to day life of a data analyst. It is still important to have a strong understanding of the foundations of mathematics. - Addition - Subtraction - Multiplication - Division - Most Importantly --- Statistics Data analytics is all about statistics. Most of the statistics will be handled by the tools you are working with, but in order to be a great data analyst it is best to know why the tools are producing specific results. A strong understanding of statistics will be useful to you. 2 ) Computer Programming You must be able to work proficiently in one or more computer programming languages. This make up for roughly 60%-70% of your daily work. in order to analyze data it must be queried (drawn) from a large data warehouse. You will use computer programming languages such as SQL, Python, and R to query data. Before we move on let me define the term Query, if it does not resonate with you. You need strong computer programming skills in order to accomplish this task. As a data analyst you will do a lot of drawing and analyzing data. ► For more info on databases, SQL, and other jargon check out our Video Series on Data Jargon ( https://www.youtube.com/playlist?list=PL_9qmWdi19yDhnzqVCAhA4ALqDoqjeUOr ) 3 ) Know the Tools of the Trade Once you query data from the database onto your workspace you will begin to utilize data analytics tools to process, scrub, and analyze data (data Jargon explained on our Video series ^^^). You will be able to perform these tasks by using tools like Hadoop, Open Refine, Tableau, Apache Spark, etc... As you process the data you will begin to see connections between the data sets. You will see some of the following errors and you will want to remove these in order to ensure that your data analysis is accurate: - Duplicated data - Improperly formatted data - Incomplete data - Inaccurate data - This data will corrupt your findings and could possibly lose you client or employer millions of dollars. Make sure you know how to use those data analytics tools WELL! 4 ) Communicate and Present Insights Data Analyst will also be called upon to clearly and consciously present your research to clients, managers, or executives. Ok, now I know you are curious if you are capable of learning all of these crucial skills. Yes, you can, but there is a clause. You have to learn from the best. The guys over at Edureka.co are the leading professionals in the big data training industry. Based out of India, home to over 101,000 individuals in the data science industry (at the time of this writing). They are eager to make a way for themselves in the new digital economy. They are on the cutting edge of data analytics and eager to teach it to anyone worldwide. Testimonies of increased salaries, new employment, and 597,089 (updated) satisfied learners make edureka the best choice to learn the skills you need in the data industry. Question is will you actually do it. Imagine deregulating yourself for the data industry. Right now, it is a black hole, you don't know what's inside, but it is screaming opportunity from the darkness. TURN ON THE LIGHT and break into the data industry. A future proof opportunity for the next decade and beyond. ► Edureka Big Data Masters Program ( http://bit.ly/2yCbsac ) affiliate link^ ------- SOCIAL Twitter ► @jobsinthefuture Facebook ►/jobsinthefuture Instagram ►@Jobsinthefuture WHERE I LEARN: (affiliate links) Lynda.com ► http://bit.ly/2rQB2u4 edX.org ► http://fxo.co/4y00 MY FAVORITE GEAR: (affiliate links) Camera ► http://amzn.to/2BWvE9o CamStand ► http://amzn.to/2BWsv9M Computer ► http://amzn.to/2zPeLvs Mouse ► http://amzn.to/2C0T9hq TubeBuddy ► https://www.tubebuddy.com/bengkaiser ► Download the Ultimate Guide Now! ( https://www.getdrip.com/forms/883303253/submissions/new ) Thanks for Supporting Our Channel!
Views: 68821 Ben G Kaiser
Understanding the Storage Requirements for Big Data
 
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As companies start getting a better understanding of the volume of data they want to capture and how they want to use that data from a storage and analytics perspective, the requirements for building a storage system to support those needs becomes more complex. HPE Storage is creating reference architectures and best practices that help facilitate the big data use cases for everything from real time analytics to ETL datawarehousing. Joe Sullivan of HPE Storage talks about all these storage requirements and how HPE is helping customers meet those requirements in this interview from HPE Discover.
Views: 2375 Delighted Robot
Data Scientist Job, Skills, and Projects
 
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Big Data Analytics. Provides an overview of data scientist definition, jobs, skills, and example of projects. Becoming Data Scientist: https://goo.gl/JWyyQc Introductory R Videos: https://goo.gl/NZ55SJ Machine Learning videos: https://goo.gl/WHHqWP Deep Learning: https://goo.gl/5VtSuC Image Analysis & Classification: https://goo.gl/Md3fMi Text mining: https://goo.gl/7FJGmd Data Visualization: https://goo.gl/Q7Q2A8 Playlist: https://goo.gl/iwbhnE
Views: 52575 Bharatendra Rai
How to Mine Bitcoins Using Your Own Computer
 
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For a full beginner's guide on mining Bitcoins visit: https://99bitcoins.com/bitcoin-mining-profitable-beginners-explanation/ IMPORTANT!! This method only illustrates how mining works. You will not make any money from it and it's only for learning purposes.
Views: 1417360 99Bitcoins
Data Mining Process and CRISP DM - Cognitir
 
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This cognitorial provides an introduction to the data mining process with a focus on CRISP-DM. This video was created by Cognitir (formerly Import Classes). For additional free resources, visit: www.cognitir.com
Views: 11883 Cognitir
How it Works: The Business of Data
 
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How exactly does the business of data work? How do we combine different data sources and cognitive analytics to deliver new services that deliver tangible value?
Views: 7557 IBM Think Academy
BitCoin Mining Hardware Guide ft. CRAZY Obsidian Mining Rig
 
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This is what you need in order to mine BitCoins or other crypto-currencies. This hardware guide tells you what you will need to buy to get started. Keep in mind that power consumption and heat are your two worst enemies. What is a Bitcoin? http://www.youtube.com/watch?v=cFj72hrUZt4 6 GPU mining rig: http://www.youtube.com/watch?v=Fux4BTtqbIQ Learn More/Where to Buy: Canada: http://www.ncix.ca/ US: http://www.ncixus.com/ Join the conversation on our community: Forums: http://forums.ncix.com/ Facebook: https://www.facebook.com/NCIXdotCOM Twitter: https://twitter.com/NCIXdotCOM Newsletter: http://www.ncix.ca/article.php?mode=newsletter Download our Mobile App: Android: http://tinyurl.com/blqeqaj iOS: http://tinyurl.com/a49ngav Windows: http://bit.ly/1guO0Pn
Views: 1101943 NCIX Tech Tips
What is machine learning and how to learn it ?
 
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http://www.LearnCodeOnline.in Machine learning is just to give trained data to a program and get better result for complex problems. It is very close to data mining. While many machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data – over and over, faster and faster – is a recent development. Here are a few widely publicized examples of machine learning applications you may be familiar with: The heavily hyped, self-driving Google car? The essence of machine learning. Online recommendation offers such as those from Amazon and Netflix? Machine learning applications for everyday life. Knowing what customers are saying about you on Twitter? Machine learning combined with linguistic rule creation. Fraud detection? One of the more obvious, important uses in our world today. fb: https://www.facebook.com/HiteshChoudharyPage homepage: http://www.hiteshChoudhary.com
Views: 661112 Hitesh Choudhary
Credit Card Default - Data Mining
 
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A data mining project as part of requirements for Applied Data Mining at Rockhurst University. This presentation explores the mining of data utilizing R programming. Methods used are Decision Tree and Linear Regression models to predict the outcome of whether a customer will default on their next monthly credit card payment.
Views: 1761 Jonathan Walker
Best Laptop for Machine Learning
 
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What kind of laptop should you get if you want to do machine learning? There are a lot of options out there and in this video i'll describe the components of an ideal laptop for ML. I'll also mention the ideal desktop, DIY machine, and cloud option. We'll discuss how RAM, GPUs, CPUs, motherboards, hard drives, and other components affect training and inference time. This video was not sponsored. Only a few days left to signup for my dapps course! https://www.theschool.ai Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval Helpful resources: https://lambdal.com/raw-configurator?product=quad https://www.nvidia.com/en-us/geforce/products/10series/laptops/ https://www.google.com/chromebook/device/acer-chromebook-11/ https://medium.com/yanda/building-your-own-deep-learning-dream-machine-4f02ccdb0460 https://blog.slavv.com/the-1700-great-deep-learning-box-assembly-setup-and-benchmarks-148c5ebe6415 Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Sign up for the next course at The School of AI: https://www.theschool.ai And please support me on Patreon: https://www.patreon.com/user?u=3191693 Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 162867 Siraj Raval
Data Science 101: 8 STEPS TO Become Data Scientist
 
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What is Data Science? Data science is the art of uncovering the insights and trends that are hiding behind data. Data science is the study of data. Do you want to become a Data Scientist. Then this is for you! About: Data science is an interdisciplinary field about processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, which is a continuation of some of the data analysis fields such as statistics, machine learning, data mining, and predictive analytics. Intro to Data Science Data Algorithms Big Data R Language Python Machine Learning Predictive Analysis
Views: 20102 DATA SCIENCE
IS GPU MINING STILL PROFITABLE? - Mining Adventure Part 1
 
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Graphics card stock has long been tapped out due to cryptocurrency miners, but does what they're doing make any sense? Let's find out. Sign up for Crunchyroll today at https://www.crunchyroll.com/linus Massdrop's AKG K7XX headphones are available now at $199.99 USD for a limited time: http://dro.ps/linusk7xx Buy Graphics Cards! Amazon: http://geni.us/bFc5H Newegg: http://geni.us/b39hZvA Discuss on the forum: https://linustechtips.com/main/topic/858834-is-gpu-mining-still-profitable-mining-adventure-part-1/ Our Affiliates, Referral Programs, and Sponsors: https://linustechtips.com/main/topic/75969-linus-tech-tips-affiliates-referral-programs-and-sponsors Linus Tech Tips merchandise at http://www.designbyhumans.com/shop/LinusTechTips/ Linus Tech Tips posters at http://crowdmade.com/linustechtips Our production gear: http://geni.us/cvOS Twitter - https://twitter.com/linustech Facebook - http://www.facebook.com/LinusTech Instagram - https://www.instagram.com/linustech Twitch - https://www.twitch.tv/linustech Intro Screen Music Credit: Title: Laszlo - Supernova Video Link: https://www.youtube.com/watch?v=PKfxmFU3lWY iTunes Download Link: https://itunes.apple.com/us/album/supernova/id936805712 Artist Link: https://soundcloud.com/laszlomusic Outro Screen Music Credit: Approaching Nirvana - Sugar High http://www.youtube.com/approachingnirvana Sound effects provided by http://www.freesfx.co.uk/sfx/
Views: 1946149 Linus Tech Tips
Does Internet Speed Affect Mining Performance?
 
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Thanks for watching, I hope this cleared this up for some people that have this question, or are just curious. Donations are much appreciated as they help me allocate more time to helping you!! Ubiq: 0x68415cC94Ad035Fa55C667CcC9B1FcbF80bf4262 Eth: 0xb29Fb07Bf94e9895a0d148cd693F81A04C92B711 BTC: 1KmCjgh4xHbhw7KokWx48dY9oUUQkER7vC Zcash: t1QT1CoomBhC1Z5LdJopZmRPkzA7Fv84nu4 Any questions just post them below I'll try to get to them. Thanks.
Views: 7179 Angry Chicken
DIY Bitcoin Mining: Hardware (part1)
 
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Get an additional $10 in Bitcoins from Coinbase when purchasing through my referral link http://fredyen.com/get/Bitcoins Raspberry Pi: http://amzn.to/2l6yrW7 Case for Raspberry Pi: http://amzn.to/1ibvy0t SD Card (Class 10): http://amzn.to/1hvwLwW Powered USB Hub: http://amzn.to/19k1SLZ ASIC Miner Block Erupters: https://ebay.to/2lfSj9X or http://amzn.to/Jg6Uwm CAN ALSO USE THESE 38GH/s ASIC Cubes: http://amzn.to/1akUQVx USB Fan: http://amzn.to/J6tLuX Micro USB Cable: http://amzn.to/1ibwIcn Ethernet Cable: http://amzn.to/JQKpPk IF YOU WOULD LIKE TO DONATE: CHC: CPKc6gk5S3zyVgD4yKSoz5M7MQxiuSCupV BTC: 17HjUU7YqrsAeBCeFPRjqJqmPsSfzszgD4 ETH: 0x1275e5693CC69dB1F3d55D0D346d84fbbEC0dD6c LTC: LRTPjWzFVfXjbQAAW7BHG5m3p7YPFtdN6J SUPPORT THIS CHANNEL: You can help support this channel by making your Amazon purchases through this link. http://amzn.to/2q7uEtV Thanks for watching! WEBSITE: http://FredYen.com INSTAGRAM: @FredYenDesigns SNAPCHAT: @FredYenDesigns FACEBOOK: @FredYenDesigns
Views: 1520822 Fred Yen
7 DAY$-24/HR$ - BITCOIN MINING EXPERIMENT - See How Much Money I Made :)
 
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This video goes over my 7 day 1 week Bitcoin Mining experiment. I let my computer Mine for Bitcoin for a week straight, to see how much money I could generate. I left my PC on while I slept and well, you'll have to watch the video to see what I made in profit. :) Links: Bitcoin Wallet: http://bitcoin.org/en/choose-your-wallet GUI Miner: https://bitcointalk.org/?topic=3878.0 BitCoin Calculator: https://bitclockers.com/calc Monitor How Many Watts Your Computer Uses:http://www.newegg.com/Product/Product.aspx?Item=N82E16882715001 MH/s Hardware Comparison: https://en.bitcoin.it/wiki/Comparison_of_mining_pools Thanks for watching, and let me know what I should do next. Thanks!
Views: 1996944 MrJayBusch
Mining Domain Knowledge
 
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Author Jane Cleland-Huang provides an audio recording of the Requirements column, in which she discusses how basic data-mining skills can be useful for processing domain documents early during requirements engineering. From IEEE Software's May/June 2015 issue: http://www.computer.org/csdl/mags/so/2015/03/index.html. Visit IEEE Software: http://www.computer.org/software.
Views: 564 ieeeComputerSociety
Healthcare Data Mining with Matrix Models (Part 1)
 
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Authors: Joel Dudley, Icahn School of Medicine at Mount Sinai Ping Zhang, IBM Thomas J. Watson Research Center Fei Wang, Department of Healthcare Policy and Research, Cornell University Abstract: In the last decade, advances in high-throughput technologies, growth of clinical data warehouses, and rapid accumulation of biomedical knowledge provided unprecedented opportunities and challenges to researchers in biomedical informatics. One distinct solution, to efficiently conduct big data analytics for biomedical problems, is the application of matrix computation and factorization methods such as non-negative matrix factorization, joint matrix factorization, tensor factorization. Compared to probabilistic and information theoretic approaches, matrix-based methods are fast, easy to understand and implement. In this tutorial, we provide a review of recent advances in algorithms and methods using matrix and their potential applications in biomedical informatics. We survey various related articles from data mining venues as well as from biomedical informatics venues to share with the audience key problems and trends in matrix computation research, with different novel applications such as drug repositioning, personalized medicine, and electronic phenotyping. More on http://www.kdd.org/kdd2016/ KDD2016 Conference is published on http://videolectures.net/
Views: 634 KDD2016 video
Smart Health Prediction Using Data Mining
 
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Get the project at http://nevonprojects.com/smart-health-prediction-using-data-mining/ A smart system that suggests a persons disease and suggestions to cure based on his symptoms, also has online doctor to consult for further treatment and cure.
Views: 32964 Nevon Projects
Why Hire out Data Mining Service?
 
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Data mining is one of the unique techniques for analyzing information to extract certain data patterns and make a decision to an outcome of the existing requirements. Data mining is widely used in client research, services analysis, market research and so on. It is totally based on a mathematical algorithm and analytical abilities to drive the desired outcomes from the huge data resource collection. For more details contact us at https://www.dataplusvalue.com/data-mining-services-india.html or call us at +91 8377013007
Views: 2 DataPlus Value
How to Become a Data Scientist | Data Scientist Skills | Data Science Training | Edureka
 
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** Data Science Master's Program: https://www.edureka.co/masters-program/data-scientist-certification ** This video on "How to become a Data Scientist" includes all the skills required for becoming a modern day Data Scientist. This video will answer the below questions: 1. Why should you go for data science? 2. What is the road map to become a data scientist? 3. What are the tools and techniques required to become a data scientist? 4. What are the roles of a data scientist? Subscribe to our channel to get video updates. Hit the subscribe button above. Check out our Data Science Training Playlist: https://goo.gl/Jg1pJJ #HowToBecomeADataScientist #DataScience #DataScienceCertificationTraining How it Works? 1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - - - - About the Course Edureka’s Data Science Course helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes and Q-Learning. Throughout the Data Science Certification Course, you’ll be solving real life case studies on Media, Healthcare, Social Media, Aviation, HR. During our Data Science Certification Training, our instructors will help you to: 1. Master the basic and advanced concepts of Python or R 2. Gain insight into the 'Roles' played by a Machine Learning Engineer 3. Automate data analysis using python or R 4. Gain expertise in machine learning using Python/R and build a Real Life Machine Learning application 5. Understand the supervised and unsupervised learning and concepts of Scikit-Learn 6. Explain Time Series and it’s related concepts 7. Perform Text Mining and Sentimental analysis 8. Gain expertise to handle business in future, living the present 9. Work on a Real Life Project on Big Data Analytics using Python/R and gain Hands on Project Experience - - - - - - - - - - - - - - - - - - - Why should you go for Data Science Course? The number of Data Science and Analytics job listings is projected to grow by nearly 364,000 listings by 2020 - Forbes The average salary for a Data Scientist is $120k as per Glassdoor Businesses analysing data will see $430 billion in productivity benefits over their rivals not analysing data by 2020 For more information, please write back to us at [email protected] Call us at US: 1844 230 6362(toll free) or India: +91-90660 20867 Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 15086 edureka!
Changing Requirements of Business Analytics in Financial Services
 
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For the full presentation contact [email protected] Changing Requirements of Business Analytics in Financial Services was presented by Jon Farrar at the 2012 Salford Analytics and Data Mining Conference (ADMC) in San Diego, CA.
Views: 102 Salford Systems
How To Build The Cheapest Mining Rig Possible!
 
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Most people view building a mining rig as an expensive or confusing thing to do. However, we break down what exactly you need for your mining rig & how to do it for as little cost as possible. G3900 CPU: http://amzn.to/2CLBR82 H110 Mobo: http://amzn.to/2BE2dtn 4GB RAM: http://amzn.to/2CKSWiC 128GB SSD: http://amzn.to/2BmAOPX 500W PSU: http://amzn.to/2CJ51F1 Mining Frame: http://amzn.to/2Bpd9Ow AMD RX GPU's: http://amzn.to/2CLdh7u For PC parts: • Buy from Amazon in US: http://amzn.to/2krqEWz • Buy from Wootware in SA: https://goo.gl/LHuwN5 • Buy Mining stuff on Amazon: http://amzn.to/2BsFwLw • You can support us on Patreon: https://www.patreon.com/UFDTech • Bitcoin Dono Address: 1G5n6qFafWSYf8CZikZTXXcThpoxKeXK1K Video was edited on: • X399 Gaming Pro Carbon: http://amzn.to/2iPnnzB • Threadripper 1950X: http://amzn.to/2ikITbh • MSI RX Vega 64: http://amzn.to/2A2JW7Q • Trident Z RGB: http://amzn.to/2prkDHI • Corsair H100i: http://amzn.to/2gRg0mU • ASUS PCI WiFi Adapter: http://amzn.to/2teOAwm • Enthoo Evolv: http://amzn.to/2oHZU5o • Corsair LL 120's: http://amzn.to/2z1w25M • Thermaltake Toughpower RGB 850W: http://amzn.to/2lSKNUv Video was shot on: • Panasonic GH4: http://amzn.to/2tyKUpJ • Sigma 18-35 f1.8: http://amzn.to/2tyDKBB • Tascam DR-40: http://amzn.to/2tRVLxo • AKG Lavalier Mic: http://amzn.to/2uzaVW3 • Rode VideoMic Pro: http://amzn.to/2uzxOZf • Benro Tripod & Head: http://amzn.to/2u0P9xk • Godox LED Lights: http://amzn.to/2uTeHJ2 For the intro/outro music by Kalyptra: https://goo.gl/KyLzTB For the music in the video: https://goo.gl/IMZC9A My Twitter - http://www.twitter.com/ufdisciple My Facebook - http://www.facebook.com/ufdtech My Instagram - http://www.instagram.com/ufdtech Thanks to Reece Hill for filming the video! Executive Producer: Ronald Bodinger
Views: 319745 UFD Tech
Job Roles For DATA ENTRY OPERATOR – Entry Level,DataBase,Arts,Science,WPM, Data Management
 
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Job Roles For DATA ENTRY OPERATOR : Know more about job roles and responsibility in DATA ENTRY . Coming to DATA ENTRY OPERATOR opportunities for freshers in India,Visit http://www.freshersworld.com?src=Youtube for detailed information,Job Opportunities,Education details and Career growth of DATA ENTRY OPERATOR. No matter what your educational background is, data entry operator jobs are available for all fresh candidates. People usually do not seek this position thinking that this is a low-level job. As a matter of fact, it is not lower than any other entry level position in corporate world. The main job of a data entry operator is to update, add and maintain data in a system or managing databases. The data entry operator is expected to insert or add data related to the company (both text and numerical) from a source file provided by the company. The candidate should also verify and sort the information as per given instruction. Other operational work includes generating routine reports and filing documents related to their work. Mostly, freshers with bachelor degree in arts and science are sought for this position. Even diploma candidates are opted for this position by many companies. Usually, candidates with professional degree, master degree or doctorate would not be sought for this position. The basic requirements are a) Knowledge and savvy in computer operation b) Expertise in MS-Office and other related software c) High typing speed – minimum market requirement is 40 WPM with 95% accuracy. d) Basic communication skills in English Usually, the candidates with good computer skill would be sought without regards to their educational background. Rotational shifts are rare and both male and female are sought. This job is also available in working-from-home option in some companies. There are short terms courses with certification for data entry offered by many institutions. Though it is not an essential certification, it would give a competitive edge over other candidates. Those who have working knowledge of Tally are sought for accountancy related data entry with a slightly higher pay. The same goes for those with commerce related educational background. With an increase in growth of BPO industry in India, there is a very high demand for data entry specialists. With one to three years experience in data entry, one can apply for jobs related to data management, document imaging, data mining, data processing and other related fields. If you want to grow in the same field, with three or more years of experience in data entry job, you can apply for senior data entry position or data analyzer positions. With more experience, you can apply for managerial positions like transaction processor, document processor and many others. Your scope is not restricted to back office operations. Candidates with a few years of experience in data entry can take up operational related jobs in KPO and customer service department. Yet, they would be considered as fresher in the new department. This job is for those who do not have a fancy degree and yet, want to take up corporate job. With this job, entry into corporate world becomes easy for all kinds of candidates. The academic excellence is not an important qualification for this job. Thus, candidates with backlog and those with moderate communication skill can apply for this position if, their typing skill is excellent. For more jobs & career information and daily job alerts, subscribe to our channel and support us. You can also install our Mobile app for govt jobs for getting regular notifications on your mobile. Freshersworld.com is the No.1 job portal for freshers jobs in India. Check Out website for more Jobs & Careers. http://www.freshersworld.com?src=Youtube - - ***Disclaimer: This is just a career guidance video for fresher candidates. The name, logo and properties mentioned in the video are proprietary property of the respective companies. The career and job information mentioned are an indicative generalised information. In no way Freshersworld.com, indulges into direct or indirect recruitment process of the respective companies.
How to start Bitcoin mining for beginners (SUPER EASY) - ULTIMATE GUIDE
 
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This video will show you how to start bitcoin mining from home. It's very easy and "free" to do if you have a gaming PC. ******************************************************************** Any Donations Are Welcome ►Paypal https://www.paypal.me/WeDoTechWDT ►Bitcoin 1KGESqGNeFBsouKCKEYzhyf6nKhFqAyuM4 ►Ethereum 0x3da0ce6f05765c61ffee9aa0d43e585e2420c3d2 ►Zcash t1JVneAaxywmymbjBx9jNPTJ48Ftf2qeMcW Bitcoin Wallet https://app.wirexapp.com/join/9vX02iahhkunpa5S5drbyA Nicehash Miner https://www.nicehash.com Nicehash Profitability Calculator https://www.nicehash.com/index.jsp?p=calc ******************************************************************** Cheapest Computer Parts in South Africa Rebel Tech (South Africa) ►Shop - https://goo.gl/BSq15c ►Facebook - https://www.facebook.com/rebeltechcc/ ******************************************************************** Cheapest Games Online ►https://www.g2a.com/r/wedotech ******************************************************************** Social Media: ►Instagram: https://www.instagram.com/we_do_tech/ ►Twitter: https://twitter.com/_WeDoTech_ ►Facebook: https://www.facebook.com/wedotech/ Website: www.wedotech.co.za ********************************************************************
Views: 455875 We Do Tech
Meta S. Brown (Keynote): CRISP-DM; The dominant process for data mining
 
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CRISP-DM stands for Cross-Industry Standard Process for Data Mining, is an industry-proven way to guide your data mining efforts. This talk covers this dominant process, what it is, how it is developed, where it is today and why it's time for you to get involved.
Views: 4620 PyData
Ninja Tracks - Data Mining
 
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Album: Revolution Dominion Composed By: Kaveh Cohen, Michael Nielsen Official: http://ninjatracks.com/ Soundcloud: https://soundcloud.com/ninjatracks Facebook: https://www.facebook.com/ninjatracks Playlist: https://www.youtube.com/playlist?list=PLlbnzwCkgkTB7xBdLOfwPt4vXghX8mzQD Image Albums:- http://theprimes1.imgur.com/ http://theprimes2.imgur.com/ http://theprimes3.imgur.com/ http://theprimes4.imgur.com/ http://theprimes5.imgur.com/ http://theprimes6.imgur.com/ http://theprimes7.imgur.com/ http://theprimes8.imgur.com/ http://theprimes9.imgur.com/ http://theprimes10.imgur.com/ http://theprimes11.imgur.com/ http://theprimes12.imgur.com/ http://theprimes13.imgur.com/ http://theprimes14.imgur.com/ http://theprimes15.imgur.com/ (New Images Goes Here) Additional Links in channel description. Main Image Source: http://wallbase.cc Note for the new Artists: If you would like to submit your own track or Artwork then please follow below instructions. You can either send me an message in here with download link or you can email me at [email protected] - If it's a Track then it needs to be at least 320 kbps with small description/Genre on the track. - If it's a Artwork then it always needs to be 16:9 aspect ratio (No logos in bottom corners) Make sure you subscribe to these two channels. Backup Channel: http://goo.gl/P5T9gI One Hour Station: http://goo.gl/44ZRnG Note:- I'm not the creator of this Music or Image, All rights belongs to respective owners. Feel free to Message me if you know the original Image Artist. This video is purely fan-made, it's done for entertainment purposes only. Have Fun! ▂▂▂▂▂▂▂▂▂▂▂▂▂ Note for the new Artists: ✖✖ If you would like to submit your track, visual art for promotion. ✖✖ If you want to add any kind of information which belongs to the video (audio or visual) ✖✖ If you have any issues regarding any of the videos. Please look for my email address in my channel's about page, please do not send me message on this channel. ▂▂▂▂▂▂▂▂▂▂▂▂▂ Submission Requirements: ✖✖ Audio - Please specify the genre on submission ✖✖ Please provide all your social media links for description. ✖✖ Audio - Must be minimum 320kbps ▂▂▂▂▂▂▂▂ Copyright Info © ✔ Be aware all music and pictures belongs to the original artists. ✔ I am in no position to give anyone permission to use this.
Views: 42477 ThePrimeCronus
Bitcoin Mining Requirements - Bitcoin Explaienr Video
 
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IMPORTANT!! To become accepted by the network, you need to insert Sponsor-Username you can view by the end of this explaining video. Sign up now and begin earning Zcash, bitcoin and also ETH. Bitclubnetwork mining pool. What is BCN and the way does it operate? BitClub operates a pair of mining areas with all the fastest growing facility located within Iceland. This particular facility is available to the general public who fulfill certain credentials regarding visitation privileges. The mining pool is accessible to public to ensure anybody who want to lead hashing power can simply achieve this. Everybody can sign up and become part of it should you meet the requirements They buy all mining tools which enables BitClub to retain full control and simply sell the hardware inside the secondary industry when it is nearing the end of it's maximum cycle. The operators swap these away for newer and much more productive machines. Should they sell a older portion of equipment our people are capable of think about having the miner once they choose. Every bit club participant assists guide on the procedures from the mining pool simply by "chipping in" Bitcoin to cover that. This particular repurchase way is what allows us to regularly broaden and purchase more mining equipment. Bitcoin is actually a world-wide currency that utilizes an open ledger procedure in order to track record transactions being sent in one person to a different. All of this happens without central bank in the centre and it's also not controlled through government, controlling body, individual company, or particular person. All purchases will be totally open and a large numbers of replicates through the ledger are actually stored around the distributed circle with computers without anchorman associated with failing. Quite simply, Bitcoin is truly a true decentralized currency which no-one can command which explains why most people are really looking forward to it. Is actually Bitclubnetwork a fraud? It is not. It is one of the greatest pools available and you can read the everyday data on the open public blockchain, where BCN ranks between 3% and 5% of all Bitcoin Mining. You may be influenced to believe that because of the sign up fee - don't forget it's one time only fee! BCN constantly gets newest appliance, features continuous advancements to its participants (for example the new zcash as well as ethereum pools, and example clubcoins that you will get at no cost after sign-up). You will get everyday payouts! Which payouts are higher than the usual cloud mining deals. There is a Recommendation Process that everybody gains from. For the Fee, REAL hardware is bought, you are able to cancel the commitment any moment and let this equipment deliver to your home adress and start mining alone! Become aware of electricity, extra devices charges, cooling down expenses, servicing costs and noisy sounds, if you decide to mine on your own! Nevertheless, there's a lot of competition and envy out there of bitcoin mining, as well as for unsuccessful persons it is easy to shout „Scam“ at something, they don't know, to really make it look unfavorable in order to make up for their own failing and also to make their own products appear better or promote their very own pools or concepts. BCN isn't a fraud.
Views: 513 Vidge R. Sall
Prediction of effective rainfall and crop water needs using data mining techniques
 
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Prediction of effective rainfall and crop water needs using data mining techniques- IEEE PROJECTS 2018 Download projects @ www.micansinfotech.com WWW.SOFTWAREPROJECTSCODE.COM https://www.facebook.com/MICANSPROJECTS Call: +91 90036 28940 ; +91 94435 11725 IEEE PROJECTS, IEEE PROJECTS IN CHENNAI,IEEE PROJECTS IN PONDICHERRY.IEEE PROJECTS 2018,IEEE PAPERS,IEEE PROJECT CODE,FINAL YEAR PROJECTS,ENGINEERING PROJECTS,PHP PROJECTS,PYTHON PROJECTS,NS2 PROJECTS,JAVA PROJECTS,DOT NET PROJECTS,IEEE PROJECTS TAMBARAM,HADOOP PROJECTS,BIG DATA PROJECTS,Signal processing,circuits system for video technology,cybernetics system,information forensic and security,remote sensing,fuzzy and intelligent system,parallel and distributed system,biomedical and health informatics,medical image processing,CLOUD COMPUTING, NETWORK AND SERVICE MANAGEMENT,SOFTWARE ENGINEERING,DATA MINING,NETWORKING ,SECURE COMPUTING,CYBERSECURITY,MOBILE COMPUTING, NETWORK SECURITY,INTELLIGENT TRANSPORTATION SYSTEMS,NEURAL NETWORK,INFORMATION AND SECURITY SYSTEM,INFORMATION FORENSICS AND SECURITY,NETWORK,SOCIAL NETWORK,BIG DATA,CONSUMER ELECTRONICS,INDUSTRIAL ELECTRONICS,PARALLEL AND DISTRIBUTED SYSTEMS,COMPUTER-BASED MEDICAL SYSTEMS (CBMS),PATTERN ANALYSIS AND MACHINE INTELLIGENCE,SOFTWARE ENGINEERING,COMPUTER GRAPHICS, INFORMATION AND COMMUNICATION SYSTEM,SERVICES COMPUTING,INTERNET OF THINGS JOURNAL,MULTIMEDIA,WIRELESS COMMUNICATIONS,IMAGE PROCESSING,IEEE SYSTEMS JOURNAL,CYBER-PHYSICAL-SOCIAL COMPUTING AND NETWORKING,DIGITAL FORENSIC,DEPENDABLE AND SECURE COMPUTING,AI - MACHINE LEARNING (ML),AI - DEEP LEARNING ,AI - NATURAL LANGUAGE PROCESSING ( NLP ),AI - VISION (IMAGE PROCESSING),mca project SOFTWARE ENGINEERING,COMPUTER GRAPHICS 1. Reviving Sequential Program Birthmarking for Multithreaded Software Plagiarism Detection 2. EVA: Visual Analytics to Identify Fraudulent Events 3. Performance Specification and Evaluation with Unified Stochastic Probes and Fluid Analysis 4. Trustrace: Mining Software Repositories to Improve the Accuracy of Requirement Traceability Links 5. Amorphous Slicing of Extended Finite State Machines 6. Test Case-Aware Combinatorial Interaction Testing 7. Using Timed Automata for Modeling Distributed Systems with Clocks: Challenges and Solutions 8. EDZL Schedulability Analysis in Real-Time Multicore Scheduling 9. Ant Colony Optimization for Software Project Scheduling and Staffing with an Event-Based Scheduler 10. Locating Need-to-Externalize Constant Strings for Software Internationalization with Generalized String-Taint Analysis 11. Systematic Elaboration of Scalability Requirements through Goal-Obstacle Analysis 12. Centroidal Voronoi Tessellations- A New Approach to Random Testing 13. Ranking and Clustering Software Cost Estimation Models through a Multiple Comparisons Algorithm 14. Pair Programming and Software Defects--A Large, Industrial Case Study 15. Automated Behavioral Testing of Refactoring Engines 16. An Empirical Evaluation of Mutation Testing for Improving the Test Quality of Safety-Critical Software 17. Self-Management of Adaptable Component-Based Applications 18. Elaborating Requirements Using Model Checking and Inductive Learning 19. Resource Management for Complex, Dynamic Environments 20. Identifying and Summarizing Systematic Code Changes via Rule Inference 21. Generating Domain-Specific Visual Language Tools from Abstract Visual Specifications 22. Toward Comprehensible Software Fault Prediction Models Using Bayesian Network Classifiers 23. On Fault Representativeness of Software Fault Injection 24. A Decentralized Self-Adaptation Mechanism for Service-Based Applications in the Cloud 25. Coverage Estimation in Model Checking with Bitstate Hashing 26. Synthesizing Modal Transition Systems from Triggered Scenarios 27. Using Dependency Structures for Prioritization of Functional Test Suites INFORMATION AND COMMUNICATION SYSTEM 1. A Data Mining based Model for Detection of Fraudulent Behaviour in Water Consumption SERVICES COMPUTING 1. SVM-DT-Based Adaptive and Collaborative Intrusion Detection (jan 2018) 2. Cloud Workflow Scheduling With Deadlines And Time Slot Availability (March-April 1 2018) 3. Secure and Sustainable Load Balancing of Edge Data Centers in Fog Computing (17 May 2018) 4. Semantic-based Compound Keyword Search over Encrypted Cloud Data 5. Quality and Profit Assured Trusted Cloud Federation Formation: Game Theory Based Approach 6. Optimizing Autonomic Resources for the Management of Large Service-Based Business Processes
computer software engineer education requirements - Software Engineer के लिये Education क्या चाहिए
 
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Software Engineer के लिये Education क्या चाहिए computer software engineer education requirements - Part 1 https://youtu.be/kK2c6raYgcA Part 2 https://youtu.be/Sj5jPTXyNgw Earning a bachelor of science in computer science, with an emphasis on software engineering, is the best preparation for this field. This four- year degree will serve as the backbone of your understanding of systems and technologies. You will take classes such as structured query language, application development, software development, computational graphics and visualization, data structures, algorithms and the fundamentals of data mining. Most programs require a capstone project that allows you to showcase learning outcomes and to highlight an individual talent or strength. Securing an internship while in school, will help you gain valuable experience that will enhance your resume. It is common for internships to lead to full-time employment. Follow us Website:- http://theschoolofknowledge.com Youtube :- http://www.youtube.com/c/TheSchoolOfKnowlege Facebook :- https://www.facebook.com/Theschoolofknowlege/ Instagram : - https://www.instagram.com/theschoolofknowledge7/ Twitter: - https://twitter.com/ShashikantNima2 Google Plus:- https://plus.google.com/u/0/109917521839220080737 Gmail :- [email protected] About : - " The School of Knowledge " is a youtube Channel, Where you will find Education, Interview ,Job, Motivation, Learning, Inspiration, carrier related Videos in Hindi. New Video is posted Everyweek. Note :- All the images/ picture shown in the video Belongs to the respected owners and not me... I'm not the owner of any pictures showed in the Videos computer software engineer education, software engineer, engineering, computer software engineer education requirements, computer software engineer education and training, computer software engineer education cost software engineer education, software engineer education needed, software engineer education and training requirements, software engineer education cost SOFTWARE ENGINEERING EDUCATION, software, engineering, software engineering education requirements, software engineering education conference, software engineering education and training
Data Mining and Business Intelligence for Cyber Security Applications Summer Program at BGU
 
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The purpose of the Summer Program in Data Mining and Business Intelligence is to provide both theoretical and practical knowledge, including tools, on data mining. The program offers two academic courses (each for 3 credits), where students learn the basic tools of data mining and the utilization of machine learning techniques for solving cyber security problems. The program includes a mandatory one week internship at BGU’s Cyber Security Research Center. The internship corresponds with the course materials and contributes the practical experience component. In addition, students will take part in professional fieldtrips to leading companies, in order to enhance their understanding of data mining and cyber security To Apply: https://www.tfaforms.com/399172 For More information: www.bgu.ac.il/global
Views: 1120 BenGurionUniversity
Database and Data Mining Introduction Video
 
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Database and Data Mining Introduction Video
Views: 125 GaryBoetticher
Fiance Visa Denial due to Social Media Data Mining
 
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http://www.visacoach.com/visa-denial-social-media-data-mining.html USCIS recently hired contractors to research social media to provide additional data for the extreme vetting of Fiance, Spouse and other visa applicants. Expect one’s social media “skeletons” to lead to denial. To Schedule your Free Consultation with Fred Wahl, the Visa Coach visit http://www.visacoach.com/talk.html or Call - 1-800-806-3210 ext 702 or 1-213-341-0808 ext 702 Bonus eBook “5 Things you Must Know before Applying for your Visa” get it at http://www.visacoach.com/five.html Fiancee or Spouse visa, Which one is right for you? http://imm.guru/k1vscr1 What makes VisaCoach Special? Ans: Personally Crafted Front Loaded Presentations. Front Loaded Fiance Visa Petition http://imm.guru/front Front Loaded Spouse Visa Petition http://imm.guru/frontcr1 K1 Fiancee Visa http://imm.guru/k1 K1 Fiance Visa Timeline http://imm.guru/k1time CR1 Spousal Visa http://imm.guru/cr1 CR1 Spouse Visa Timeline http://imm.guru/cr108 Green Card /Adjustment of Status http://imm.guru/gc USCIS recently announced new contracts given to companies to search through social media to collect data on Fiance and other visa applicants. Collection starts October 18. If you have any "suspect" exposure, you have only a few more days to take it down. One of VisaCoach's clients has already experienced denial due to his Facebook presence. This couple's case was as near perfect as we have seen. They were young and in love. They had known each other for a few years and had met more than once. They were evenly matched by age, values and religion. Their "front loaded" petition was awesome and included many solid evidences of their bona fides. The American sponsor even accompanied his fiancé to the interview to demonstrate his sincerity and support for the petition. After a brief interview where the sponsor was not allowed to join in nor asked any questions before, during or after, the consular officer, denied the case. The couple was devastated and confused. What could have gone wrong? A consular officer who exhibits professionalism will state the reasons for denial in writing. And provide this to the rejected applicant immediately, often at the close of the interview itself. You may not agree with the decision, but at least know what it was and then have a starting point for renewed efforts. The officer refused to provide any verbal or written explanation. All the couple had was the fiancee's memory of the interview. I asked her to write a transcript of what happened, to recall exactly what was said and even what the body language was, so that we could study this in an attempt to reconstruct what MIGHT have been in the consular officer’s mind. What seemed odd and out of context, was the consular officer made some comments about "conservative values" and what is a "woman's role in society and in the home". Those comments seemed rather strange at the time and the foreign born fiancé had no idea where those comments came from. Eventually it dawned on us. The American sponsor is active on FaceBook. He is outspoken and his views are somewhat "anti feminist". He had posted on his social media pages, and entered into many online debates, his ideas on conservative values, and HIS ideas about a women's role in the home and society. He is not a bad guy. Not a bad husband. He was just expressing his free speech. He just had some strong views that are not popular, that are not considered "politically correct". The consular officer did her own internet search, found his activity and "Was NOT amused", and denied, putting this loving couple's life's on hold. Was it fair or reasonable that they were denied?. No, I don't think so. Happy end to the story. We took down his Facebook account, reapplied, and six months later they had their visa and began their married life together in Alaska. One random consular officer searching on Facebook ended in a denial. What will happen when ALL Fiance and Spouse applications are accompanied by a detailed dossier of one's online statements, comments jokes, embarrassments, positive and negative feedback from friends or trolls? Expect disaster. Expect many more denials, simply due to exercising a US Citizen's right to free speech. In Conclusion: "Freedom of Speech", doesn't mean freedom to get your visa. The prudent path is prior to applying for a Fiance or Spouse visa to make sure there are no skeletons in your online closet. Clean or temporarily remove, or make private, potentially controversial aspects of your online and public presence before proceeding with your visa application.
Views: 10962 Visa Coach
Intermediate DM Lesson02
 
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Lesson 2: Building a Forecasting Scenario (Intermediate Data Mining Tutorial) - Adding a Data Source View for Forecasting (Intermediate Data Mining Tutorial) + Understanding the Requirements for a Time Series Model (Intermediate Data Mining Tutorial) - Creating a Forecasting Structure and Model (Intermediate Data Mining Tutorial) - Modifying the Forecasting Structure (Intermediate Data Mining Tutorial) - Customizing and Processing the Forecasting Model (Intermediate Data Mining Tutorial) - Exploring the Forecasting Model (Intermediate Data Mining Tutorial) - Creating Time Series Predictions (Intermediate Data Mining Tutorial) - Advanced Time Series Predictions (Intermediate Data Mining Tutorial) + Time Series Predictions using Updated Data (Intermediate Data Mining Tutorial) + Time Series Predictions using Replacement Data (Intermediate Data Mining Tutorial) + Comparing Predictions for Forecasting Models (Intermediate Data Mining Tutorial)
Views: 107 Phuc Toan
What Is Meant By Classifier In Data Mining?
 
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Br data analysis task is an example of numeric prediction, where 11 feb 2017 all classification techniques assume some knowledge the. Edudata mining evaluation of classifiers. Once a datification scheme has been created, security standards that specify appropriate handling practices for each category and storage define the data's lifecyle requirements should be mining classificationwhat is classification? What prediction? Issues regarding prediction set t split into two subsets t1 t2 with sizes n1 n2 respectively, gini index of contains examples from n classes, gini(t) defined as. Data mining classification what is classification? Usual examples and regression data with weka, part 2 clustering ibm. Classification and prediction nyu computer science. Given a database of tuples and set classes, the classification problem is to define mapping where each tuple objective analyze input data develop an accurate description or model for class using features present in. Binary4 example6 probabilities8 data structure. The process of identifying the relationship and effects this on outcome future values objects is defined as regression. By simple definition, in classification clustering analyze a set of data and generate grouping rules which can be used to typically the learning task like any mining is an iterative process proaches, algorithm settings, before good classifier found. Classification is a two step process. A study on classification techniques in data mining ieee xplore. Classifiers for educational data mining semantic scholar. What's an example of this its simplicity means it's generally faster and more efficient than other algorithms, especially over large datasets. Regression helps in identifying 11 may 2010 this second article of the series, we'll discuss two common data mining methods classification and clustering which can be used to do more powerful you could have best about your customers (whatever that even means), but if don't apply right models it, it will just garbage abstract is a process inferring knowledge from such huge. Data mining classification and prediction slideshare. A classifier is a tool in data mining that takes bunch of representing things we want to classify and attempts predict which class the new belongs. Classification in data mining eecs. Data mining classification & prediction tutorialspoint. 04 classification in data mining slideshare. What is datification? Definition from whatis. The term 'classifier' sometimes also refers to the mathematical function, implemented by a therefore, 80. Data mining has three major components clustering or classification, association rules and sequence analysis. Mean absolute error and other coefficient. Poznan, poland mean squared error. Do not hesitate to ask any questions or read books!. Top 10 data mining algorithms, explained kdnuggets. Branches are added by making the same information gain calculation for data defined location on tree of classification can be applied to simpl
Views: 42 Roselyn Wnuk Tipz
Movie Success Prediction Using Data Mining Prediction of movie success using data mining
 
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Movie Success Prediction Using Data Mining Prediction of movie success using data mining
Alongside Common Core, the Feds are Data-Mining Your Kids
 
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http://www.FightTheCore.com/ - Veteran educator Mary Black explains how, contrary to establishment claims, Common Core and the federal government's broader education "reform" agenda will indeed vacuum up huge amounts of information on American children for data-mining and other purposes. The New American http://www.thenewamerican.com/ FreedomProject Education http://www.fpeusa.org/
Views: 2211 VisionLiberty
Become Data Mining Expert in few steps
 
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Data Mining is the process of extracting information from a large data set and transforms this extracted information into understandable data structure. The data mining is frequently applied to many information processing such as collection, extraction, warehousing, statistics and analysis as well as the applications of computer decision support systems such as artificial intelligence, business intelligence and machine learning. There are many large companies uses this technology to focus on the most important information in their data warehouses
Views: 92 Dinesh Gupta
Data Entry, Data Analysis, Web Research, Admin Support
 
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Hello, I am Linkonl and working here all types of copy paste jobs as per your requirements. I have experience in administrative support (data entry, data scraping, data mining, file processing, email handling etc.) web research and market research. Exclusively on fiverr https://goo.gl/8GxKQm
Views: 12 Md Linkon
Kamanja: An Open Source Real Time System for Scoring Data Mining Models, Greg Makowski 20150727
 
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Greg Makowski, Director of Data Science, LigaDATA This talk will start with a number of complex data real-time use cases, such as a) complex event processing, b) supporting the modeling of a data mining department and c) developing enterprise applications on Apache big-data systems. While Hadoop and big data has been around for a while, banks and healthcare companies tend not to be early IT adopters. What are some of the security or roadblocks in Apache big data systems for such industries with high requirements? Data mining models can be trained in dozens of packages, but what can simplify the deployment of models regardless of where they were trained or with what algorithm? Predictive Modeling Markup Language (PMML), is a type of XML with specific support for 15 families of data mining algorithms. Data mining software such as R, KNIME, Knowledge Studio, SAS Enterprise Miner are PMML producers. The new open-source product, Kamanja, is the first open-source, real-time PMML consumer (scoring system). One advantage of PMML systems is that it can reduce time to deploy production models from 1-2 months to 1-2 days - a pain point that may be less obvious if your data mining exposure is competitions or MOOCs. Kamanja is free on Github, supports Kafka, MQ, Spark, HBase and Cassandra among other things. Being a new open-source product, initially, Kamanja supports rules, trees and regression. I will cover an architecture of a sample application using multiple real-time open source data, such as social network campaigns and tracking sentiment for the bank client and its competitors. Other real-time architectures cover credit card fraud detection. A brief demo will be given of the social network analysis application, with text mining. An overview of products in the space will include popular Apache big data systems, real-time systems and PMML systems. For more details: Slides: http://www.slideshare.net/gregmakowski/kamanja-driving-business-value-through-realtime-decisioning-solutions http://kamanja.org/ http://www.meetup.com/SF-Bay-ACM/events/223615901/ http://www.sfbayacm.org/event/kamanja-new-open-source-real-time-system-scoring-data-mining-models Venue sponsored by eBay, Food and live streaming sponsored by LigaDATA, San Jose, CA, July 27, 2015 Chapter Chair Bill Bruns Data Science SIG Program Chair Greg Makowski Vice Chair Ashish Antal Volunteer Coordinator Liana Ye Volunteers Joan Hoenow, Stephen McInerney, Derek Hao, Vinay Muttineni Camera Tom Moran Production Alex Sokolsky Copyright © 2015 ACM San Francisco Bay Area Professional Chapter
Mining Unstructured Healthcare Data
 
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Deep Dhillon, former Chief Data Scientist at Alliance Health Networks (now at http://www.xyonix.com), presents a talk titled "Mining Unstructured Healthcare Data" to computational linguistics students at the University of Washington on May 8, 2013. Every day doctors, researchers and health care professionals publish their latest medical findings continuously adding to the world's formalized medical knowledge represented by a corpus of millions of peer reviewed research studies. Meanwhile, millions of patients suffering from various conditions, communicate with one another in online discussion forums across the web; they seek both social comfort and knowledge. Medify analyzes the unstructured text of these health care professionals and patients by performing a deep NLP based statistical and lexical rule based relation extraction ultimately culminating in a large, searchable index powering a rapidly growing site trafficked by doctors, health care professionals, and advanced patients. We discuss the system at a high level, demonstrate key functionality, and explore what it means to develop a system like this in the confines of a start up. In addition, we dive into details like ground truth gathering, efficacy assessment, model approaches, feature engineering, anaphora resolution and more. Need a custom machine learning solution like this one? Visit http://www.xyonix.com.
Views: 3691 zang0

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