Search results “Data mining course singapore map”
Legal Technology Track: Data Analytics in Law
Data Analytics seems like a tool for large firms with data scientists and geeks—but data analytics are really just reports of what has happened. They are like maps for litigation. Data analytics doesn’t have to be intimidating, and in fact, it can level the playing field in litigation, helping small firms to harness the kinds of resources that large firms have. In this session, Fastcase CEO Ed Walters (and editor of the new book Data-Driven Law) will give an introduction to data analytics—what they are, and how to use analytics to make better strategic decisions and to win more cases. You will learn: - What data analytics are, and how they are created. - How the history of data analytics parallels the history of maps and cartography. - Simple tools to better understand judges, law firms, lawyers, and parties—quantitatively, based on what they have done in similar cases. - The risks, challenges, and new frontiers in the use of data analytics for law. Presenter: Ed Walters: CEO & Adjunct Professor of Law, Fastcase & Georgetown University Get your passes to the 2019 Clio Cloud Conference in San Diego, Oct. 21 & 22 at http://cliocloudconference.com/register
Views: 268 Clio
Fundamentals of Data Analytics with Python: Understanding Pythons Graphics Data Exploration Tools
Understanding Pythons Graphics Data Exploration Tools is an excerpt from, Fundamentals of Data Analytics in Python LiveLessons (Video Training): http://www.informit.com/store/fundamentals-of-data-analytics-in-python-livelessons-9780133599459 3+ Hours of Video Instruction -- Python has become the language of choice for most fields in the scientific community, and this is expanding to businesses investing in analytics resources. Fundamentals of Data Analytics in Python LiveLessons is a coherent, narrative tutorial that strikes the right balance between teaching the "how" and the "why" of data analytics in Python. This video begins with an abbreviated primer on Python, and then proceeds to cover open source Python tools relevant to solving day-to-day scientific and engineering programming problems. Clcik here for more info and to view a complete table of contents: http://www.informit.com/store/fundamentals-of-data-analytics-in-python-livelessons-9780133599459
Views: 2647 LiveLessons
The Clustering and Outlier Analysis for Data Mining (COADM) tool
The Clustering and Outlier Analysis for Data Mining (COADM) is a data mining tool developed to help the analyst analyze the dataset more efficiently with visual aids. The tool is developed by Defense Science Organisation (DSO) National Laboratories, Singapore. The enhanced Graphical User Interface (GUI) has a new splash screen which is more eye-catching and attractive. In addition to this, the program itself has an access control feature that can prevent unauthorized users to access data. A log feature is also included to keep track of users who use the tool. Furthermore, user guide and flash tutorial are included to assist the users. Similarly, functions like print, print preview, save file, open file and zoom in/out will also be included to provide convenience to the users. Lastly, in order to ensure consistency, menu bar, shortcut bar and progress bar are incorporated.
Views: 703 SPMADvideo
Data Science Tools - Spell Checker  and Auto Correction with Python[2019]
In this tutorial we will be learning how to check spelling and correct spelling with some python packages Check out the Free Course on- Learn Julia Fundamentals http://bit.ly/2QLiLG8 Code:https://github.com/Jcharis/DataScienceTools If you liked the video don't forget to leave a like or subscribe. If you need any help just message me in the comments, you never know it might help someone else too. J-Secur1ty JCharisTech ==Get The Data Science Prime App== @ Playstore : http://bit.ly/2LArYQu ==Need Your Dataset Cleaned check out this gig== https://www.fiverr.com/jesiel_/clean-your-dataset-with-python Follow https://www.facebook.com/jcharistech/ https://github.com/Jcharis/ https://twitter.com/JCharisTech https://jcharistech.wordpress.com/
Views: 187 J-Secur1ty
Build a Text Summarizer in Java
Get the Code here : https://github.com/ajhalthor/text-summarizer Follow me on Twitter : https://twitter.com/ajhalthor Take a look at the original by Shlomi Babluki : http://thetokenizer.com/2013/04/28/build-your-own-summary-tool/ TRANSCRIPT OVERVIEW ALGORITHM 1. Take the full CONTENT and split it into PARAGRAPHS. 2. Split each PARAGRAPH into SENTENCES. 3. Compare every sentence with every other. This is done by Counting the number of common words and then Normalize this by dividing by average number of words per sentence. 4. These intermediate scores/values are stored in an INTERSECTION matrix 5. Create the key-value dictionary - Key : Sentence - Value : Sum of intersection values with this sentence 6. From every paragraph, extract the sentences with the highest score. 7. Sort the selected sentences in order of appearance in the original text to preserve content and meaning. And like that, you have generated a summary of the original text. CLASSES IN JAVA PROJECT 1. Sentence : The entire text is divided into a number of paragraphs and each paragraph is divided into a number of sentences. 2. Paragraph : Every paragraph has a number associated with it and an Array List of sentences. 3. Sentence Comparitor : Compare Sentence objects based on Score 4. SentenceComparatorForSummary : Compare Sentence objects based on position in text. 5. SummayTool : akes care of all the operations from extracting sentences to generating the summary. HOW IS MY SUMMARIZER BETTER THAN THE ORIGINAL ? My text summarizer selects number of sentences from a paragraph depending on the length. This is an improvement over the original text summarizer implementation that only selects 1 sentence per paragraph regardless of length. So, If the author decides to crunch everything into 1 paragraph, then only one sentence would be chosen. In the current implementation, we set it to accept several sentences for larger paragraphs. It delivers cogent summaries for general essays, reviews and publications. RUN THIS PROGRAM $ javac -d bin improved_summary.java $ java -classpath bin improved_summary
Views: 8511 CodeEmporium
Debugging Big Data Analytics in Spark with BigDebug
This video presents a live demonstration of BigDebug. Bigdebug is available for download at https://sites.google.com/site/sparkbigdebug/home. This webpage also contains a "Debugging WordCount" tutorial for BigDebug.
Views: 836 Muhammad Ali Gulzar
RapidMiner Tutorial - GUI Overview (Data Mining and Predictive Analytics Software)
A tutorial overview of the RapidMiner GUI. RapidMiner is an open source system for data mining, predictive analytics, machine learning, and artificial intelligence applications. For more information: http://rapid-i.com/ Brought to you by Rapid Progress Marketing and Modeling, LLC (RPM Squared) http://www.RPMSquared.com/
Views: 3550 Predictive Analytics
New AI-driven analytics and data storytelling in Power BI
On this episode, Will Thompson from the Power BI team joins Jeremy Chapman to take a hands-on look at updates to Power BI, including new capabilities to help you to bookmark and spotlight your data during presentations, enhanced AI for Quick insights and Q&A, options for bi-directional integration between Power BI and other apps like Visio, new metrics to see how your reports are being consumed, and how you can to securely share your reports externally.
Views: 49775 Microsoft Mechanics
High Salary Jobs in Canada - Part 1
High Paid jobs offered in Canada. How much professors, engineers, managers, teachers, technicians, nurses can earn in Canada. Link to High Salary Jobs in Canada - Part 2 https://youtu.be/oZgV528zGXg You can send your CV at: [email protected] Currently they provide job placements with good salaries. Jobs in Canada work in canada pilot jobs aircraft engineer jobs marketing manager jobs network engineer jobs computer engineer jobs nurses jobs cooks jobs waiters jobs teacher vacancies professor vacancies technician jobs engineer jobs
Views: 1984454 GoAbroad
Geography Now! NAURU
Now who? Nau-ru. No seriously it's no surprised if you've never heard of this country they are literally the least visited on earth. Check out http://www.GeographyNow.com ! You asked for merch so we made it for you! We now have a Public mailbox too! Feel free to send anything via mail! Our public mailbox address is: 1905 N Wilcox ave, #432 Los Angeles CA, 90068 SUBSCRIBE: http://bit.ly/1Os7W46 BTS info and tidbits? Check out the Facebook fan page: https://www.facebook.com/GeographyNowFanpage/?fref=ts Twitter: https://twitter.com/geographynow Instagram: http://instagram.com/GeographyNow_Official Become a patron! Donate to help pay for production of GN including Ken's salary. You also get exclusive BTS footage, pics/ and access to other perks! Go to: http://patreon.com/GeographyNow WATCH MORE: Countries A to Z: http://bit.ly/1T8Z9JY Europe: http://bit.ly/1YoRaIB ------------------------------------------------------------------------------------------------- Welcome to Geography Now! This is the first and only Youtube Channel that actively attempts to cover profiles on every single country of the world. We are going to do them alphabetically so be patient if you are waiting for one that's down the road. CONTACT US if you are from a country that is coming up! Teach us! Email: [email protected] Stay cool Stay tuned and remember, this is Earth, your home. Learn about it.
Views: 460682 Geography Now
The Deepest Hole in the World, And What We've Learned From It
SciShow takes you down the deepest hole in the world -- Russia's Kola Superdeep Borehole -- explaining who dug it and why, and what we learned about Earth in the process. Don't fall! ---------- Like SciShow? Want to help support us, and also get things to put on your walls, cover your torso and hold your liquids? Check out our awesome products over at DFTBA Records: http://dftba.com/artist/52/SciShow Written by Dave Loos ---------- Looking for SciShow elsewhere on the internet? Facebook: http://www.facebook.com/scishow Twitter: http://www.twitter.com/scishow Tumblr: http://scishow.tumblr.com Thanks Tank Tumblr: http://thankstank.tumblr.com Sources: http://www.atlasobscura.com/places/kola-superdeep-borehole http://www2.gi.alaska.edu/ScienceForum/ASF7/725.html http://www.damninteresting.com/the-deepest-hole/ http://www.wirelinedrilling.com/sites/default/files/Kozlovsky%20Kola%20Deepest%20Well%20.pdf http://www.csmonitor.com/1985/0822/drock.html http://www.nytimes.com/1981/09/29/science/russians-plan-dramatic-expansion-of-effort-in-earth-drilling.html
Views: 8858761 SciShow
Market Basket Analysis
https://www.experfy.com/training/courses/clustering-and-association-rule-mining Clustering and Association Rule Mining are two of the most frequently used Data Mining technique for various functional needs, especially in Marketing, Merchandising, and Campaign efforts. Clustering helps find natural and inherent structures amongst the objects, where as Association Rule is a very powerful way to identify interesting relations between objects in large commercial databases Affinity analysis and association rule learning encompasses a broad set of analytics techniques. Of these, “market basket analysis” is perhaps the most famous example and has emerged as the next step in the evolution of retail merchandising and promotion. Follow us on: https://www.facebook.com/experfy https://twitter.com/experfy https://experfy.com
Views: 11450 Experfy
WW1 - Oversimplified (Part 1)
PART 2 HERE: https://www.youtube.com/watch?v=Mun1dKkc_As MERCH: https://oversimplified.tv/merch If you would like to see more OverSimplified on a more regular basis, please consider supporting me on Patreon: https://www.patreon.com/OverSimple Want to know how I make these videos? I use Adobe After Effects and Photoshop. Get them here - https://goo.gl/zPHcm2 https://www.facebook.com/OverSimplified/ https://twitter.com/over_simplified https://instragram.com/over_simplified Content inspired by Dan Carlin's Hardcore History podcast, check it out if you want to learn about WW1 in more detail! Bill Wurtz made me want to make this, kudos to him! (Link to his channel: https://www.youtube.com/user/billwurtz) (I've not been endorsed by either of them!) Copyright disclaimer - We do not give anyone permission to translate and/or reupload our videos or designs on YouTube or other social media platforms. --Attributions-- Images: World Map NASA Goddard Space Flight Center Image by Reto Stöckli (land surface, shallow water, clouds). Enhancements by Robert Simmon (ocean color, compositing, 3D globes, animation). Data and technical support: MODIS Land Group; MODIS Science Data Support Team; MODIS Atmosphere Group; MODIS Ocean Group Additional data: USGS EROS Data Center (topography); USGS Terrestrial Remote Sensing Flagstaff Field Center (Antarctica); Defense Meteorological Satellite Program (city lights). Pfefferpotthast by Oliver Hallmann (Creative Commons) License: (https://creativecommons.org/licenses/by/2.0/) Source: (https://www.flickr.com/photos/ohallmann/12155531553) Music: Bird in Hand - Audionautix (attribution) “Bird In Hand by Audionautix is licensed under a Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/) Artist: http://audionautix.com/“ Covert Affair - Film Noire by Kevin MacLeod is licensed under a Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/) Source: http://incompetech.com/music/royalty-free/index.html?isrc=USUAN1100795 Artist: http://incompetech.com/ Accralate - The Dark Contenent by Kevin MacLeod is licensed under a Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/) Source: http://incompetech.com/music/royalty-free/index.html?isrc=USUAN1100341 Artist: http://incompetech.com/ Expeditionary by Kevin MacLeod is licensed under a Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/) Source: http://incompetech.com/music/royalty-free/index.html?isrc=USUAN1100436 Artist: http://incompetech.com/ Disco Sting by Kevin MacLeod is licensed under a Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/) Source: http://incompetech.com/music/royalty-free/index.html?isrc=USUAN1100363 Artist: http://incompetech.com/ Faceoff by Kevin MacLeod is licensed under a Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/) Source: http://incompetech.com/music/royalty-free/index.html?isrc=USUAN1100403 Artist: http://incompetech.com/ First Call by Kevin MacLeod is licensed under a Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/) Source: http://incompetech.com/music/royalty-free/index.html?isrc=USUAN1100862 Artist: http://incompetech.com/ I Knew a Guy by Kevin MacLeod is licensed under a Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/) Source: http://incompetech.com/music/royalty-free/index.html?isrc=USUAN1100199 Artist: http://incompetech.com/ Who Likes to Party Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 License http://creativecommons.org/licenses/by/3.0/
Views: 16119820 OverSimplified
Lecture - 35 Data Mining and Knowledge Discovery Part II
Lecture Series on Database Management System by Dr. S. Srinath,IIIT Bangalore. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 43502 nptelhrd
The best stats you've ever seen | Hans Rosling
http://www.ted.com With the drama and urgency of a sportscaster, statistics guru Hans Rosling uses an amazing new presentation tool, Gapminder, to present data that debunks several myths about world development. Rosling is professor of international health at Sweden's Karolinska Institute, and founder of Gapminder, a nonprofit that brings vital global data to life. (Recorded February 2006 in Monterey, CA.) TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes. TED stands for Technology, Entertainment, Design, and TEDTalks cover these topics as well as science, business, development and the arts. Closed captions and translated subtitles in a variety of languages are now available on TED.com, at http://www.ted.com/translate. Follow us on Twitter http://www.twitter.com/tednews Checkout our Facebook page for TED exclusives https://www.facebook.com/TED
Views: 2937488 TED
Advanced MapReduce
This Lecture talks about Advanced MapReduce
Views: 916 cec
Hotel Recommendation System Based on Hybrid Model
For more information and source code of this project visit http://nevonprojects.com/hotel-recommendation-system-based-on-hybrid-recommendation-model/
Views: 1772 Nevon Projects
More samples now available to map virus genome - 29 May 09
Singapore Health Minister Khaw Boon Wan said that with the increase in the number of confirmed cases in Singapore, we now have more samples to do a proper scientific study of the virus. We are now roping in our genome institute, GIS to rapidly map the genome of the virus. This mapping is to serve 3 purposes: 1) To see if the virus in Singapore is identical to the one spreading overseas 2) To check if the virus is mutating which is normal for a virus 3) To see how the virus is mutating - to become stronger or weaker This would impact our how Singapore treats this outbreak. If we can scientifically determine that this new strain behaves like common flu strains then we can regard it as such.
Views: 322 MOHSingapore
'Turn Your Data Into Infographic Stories' - Online Course Teaser
Learn how to create videos like the one you've just seen. Sign up today for an upcoming online course at http://www.wikiads.cc WikiAds helps SEM/SEO and social agencies create engaging & low cost video content by combining innovative video formats with crowdsourced production.
Views: 936 Wikiads
Singapore Bitcoin Pub Crawl
Sorry about the quality - only have access to iMovie at the moment :-o Thanks to everyone who has helped increase Bitcoin adoption in Singapore! Some links: Bitcoin ATM Machine: http://www.coinrepublic.com Bitcoin POS Payment System: http://www.coinofsale.com Mycelium Bitcoin Wallet: http://www.mycelium.com/bitcoinwallet Bitcoin Singapore Meetup Group: http://www.meetup.com/BitcoinSingapore View the location map at: http://tinyurl.com/btcpubcrawl Find Bitcoin shops near you at: http://www.coinmap.org Buy & sell bitcoin in the UK at: http://www.bitcoinmagnet.co.uk Find more details about us at: http://www.jackandiva.com Donations to: 12mLGm5WjtT4mf2mDjmCQzxzPoq1FYdYrE
Views: 475 Iva M
Advancing our nation through the power of GIS
As the world celebrates International GIS Day, we pay tribute to Singapore’s GIS professionals
Views: 863 Esri South Asia
Master Class ESSEC Asia-Pacific | "How to derive business value from Big Data"
www.essec.edu/asia | Led by Dr. Yan Li, Associate Professor, Information Systems and Decision Sciences and Associate Dean of Faculty (Asia-Pacific) at ESSEC Business School, this master class discusses Opportunities and Challenges of Big Data. What is Big Data in our digital era? What are the challenges posed by Big Data? How can companies turn the challenges of Big Data into marketing opportunities? How should we handle the massive flows of data that stream into companies from various sources? The paradox of Big Data is that there is a lot of data, while there are very few insights and actions companies can squeeze out of it. How should companies solve this paradox? This Master Class will address these issues and introduce cutting-edge methods, technologies and tools to derive business value from Big Data. Dr. Li will teach in the ESSEC Executive MBA Asia-Pacific programme, a unique course titled "Targeting Masses in Asia: Big Data and the Bottom of the Pyramid".
Views: 1407 ESSEC Business School
How to Normalize or to Scale the Stacked Raster data in R?
To watch the full course, use the link: https://www.udemy.com/how-to-use-ann-for-prediction-mapping-using-gis-data/?couponCode=ANNFORGIS Code below :------------------------------ maxs = apply(data_train, 2, max) mins = apply(data_train, 2, min) scaled_train = as.data.frame(scale(data_train, center = mins, scale = maxs - mins)) str(scaled_train) -------------------------------------------------------------------- - Welcome to my Step-By-Step video tutorial, using Artificial Neural Network ANN with GIS data for Prediction of Hazards, minerals sources, viruses and diseases susceptible distribution regions, Urban planning and others spatial targets. Instructor: Dr. Omar Althuwaynee - The first and only Step-By-Step video tutorial - Using R programming and QGIS only. - Codes, data and tools are provided. - Full support by the instructor. #Rasters_scaling_normalization #R #GIS
Python Tutorial - API data integration - Do it Yourself(DIY) Tutorial - DIY -15
Pet & Play with Python - API data integration - Do it Yourself(DIY) Tutorial - DIY -15 How to push data set on API using python? Applied Python Programming - API Integration - Data Push by Bharati DW Consultancy cell: +1-562-646-6746 (Cell & Whatsapp) email: [email protected] website: http://bharaticonsultancy.in/ Google Drive Link - https://goo.gl/U75Mx3 1- Python Tutorial - Getting Started - DIY -1 2- Python Tutorial - Data Types & Strings - DIY -2 3- Python Tutorial - List & Tuples - DIY -3 4- Python Tutorial - Sets & Dictionary - DIY -4 5- Python Tutorial - If Else Statement - DIY -5 6- Python Tutorial - For & While Loop - DIY -6 7- Python Tutorial - User Defined Functions - DIY -7 8- Python Tutorial - Read & Write a File - DIY -8 9- Python Tutorial - Installing Tensorflow - DIY -9 10- Python Tutorial - Pandas Series - DIY -10 11- Python Tutorial - DataFrames - DIY -11 12- Python Tutorial - Lambda & Map - DIY -12 13- Create a Telegram Bot - DIY -13 14- Create JSON Messages - DIY -14 15- Create API Data Push - DIY - 15 python basic tutorial, pet n play python, python tutorial for beginners, tensorflow, How to create a Telegram bot in python?
Views: 1772 BharatiDWConsultancy
Introductory Level Training of Prospectors Course:Part 2
The Prospector and Miner Technician Certificate Program is intended for personnel who are active or would like to be active in prospecting and mining for surface and near-surface minerals, primarily gold. The objective of this program is to give graduates the basic skills for selecting and registering a mineral property and for developing the property, once obtained. The program will emphasize skills for locating profitable ground based on geology, increasing the efficiency of mineral recovery, implementing safe occupational and health practices, and minimizing environmental impact. The program will also prepare graduates to conduct research projects directed at improving mine productivity and reducing environmental impact. For more information on how you can register for this program, call the Administrator/Coordinator Mr. John Applewhite-Hercules on Tel #+592-639-5923 or on + 592-618-7346. Classes will be offered in Bartica, Linden,Georgetown,Mahdia,Puruni and NorthWest. Inbox message us with your Full name, Telephone number,Address, Email address, Occupation and the courses you would like to attend and we will return you a response. Also you can email us at: [email protected]
CQL Data Models: User Activity, Log Collection, and Form Versioning
WANT TO EXPERIENCE A TALK LIKE THIS LIVE? Barcelona: https://www.datacouncil.ai/barcelona New York City: https://www.datacouncil.ai/new-york-city San Francisco: https://www.datacouncil.ai/san-francisco Singapore: https://www.datacouncil.ai/singapore In this his C* Summit talk, Patrick McFadin shows top data models for three common CQL use cases: user activity, log collection, and form versioning. Check out the full post for more details: http://www.hakkalabs.co/articles/tech-talk-top-3-cql-data-models FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai Facebook: https://www.facebook.com/datacouncilai
Views: 1202 Data Council
Caltech-JPL Summer School on Big Data Analytics Day 1 Lecture 1
Caltech Welcome - S.G. Djorgovski Video with Bookmarks on ClipMine https://clip.mn/video/yt-X6cfOnlDlZ0
Views: 328 QuickLearning
R : Interactive documents in the R language by Ramnath Vaidyanathan
WANT TO EXPERIENCE A TALK LIKE THIS LIVE? Barcelona: https://www.datacouncil.ai/barcelona New York City: https://www.datacouncil.ai/new-york-city San Francisco: https://www.datacouncil.ai/san-francisco Singapore: https://www.datacouncil.ai/singapore Video Intro Animation provided by http://animoto.com/ Visit http://www.hakkalabs.co for more videos and tech talks. This talk will focus on how to create and share interactive web-friendly content with R. You will learn how to create interactive presentations, visualizations, web pages, blogs, applications and dashboards, straight from R. FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai Facebook: https://www.facebook.com/datacouncilai
Views: 894 Data Council
Introducing Reactore: A future proof software solution for the mining industry.
Introducing Reactore, a comprehensive mining software solution that helps miners break down the complexity of resources and operational management in an integrated environment where all mining operations can be planned, scheduled, executed and monitored through a single software platform. visit us at www.reactore.com
Views: 1414 Reactore Systems
WDM 37: Spelling Correction Using Weighted Edit Distance
Spelling Correction Using Weighted Edit Distance For Full Course Experience Please Go To http://mentorsnet.org/course_preview?course_id=1 Full Course Experience Includes 1. Access to course videos and exercises 2. View & manage your progress/pace 3. In-class projects and code reviews 4. Personal guidance from your Mentors
Views: 4641 Oresoft LWC
Introduction to data visualisation with special focus on filters, conditional formatting, calculated fields, and donut chart..!
Traffic Data Analysis
Transpose- Acquire, Analyse, Optimize
Views: 1293 Kavina Patel
The Globe of Economic Complexity
One dot equals $100M of exports Visualize $15 Trillion of World Exports Available at http://globe.cid.harvard.edu
Views: 54596 Owen Cornec
R Integration in Microsoft Power BI
In this short video, Thorogood consultant Nick Ceneviva demonstrates how to integrate routines developed in the R statistical programming language with Microsoft's Power BI for approachable analytics.
Views: 8457 ThorogoodBI
Measuring Recommender System Accuracy
Complete course: https://www.udemy.com/building-recommender-systems-with-machine-learning-and-ai/?couponCode=RECSYS15 Learn how to design, build, and scale recommender systems from Frank Kane, who led teams building them at Amazon.com for 9 years. There are many ways to measure the performance of a recommender system, and your choice has a huge influence on the things your system recommends. Many researchers use root mean-square error (RMSE) or mean absolute error (MAE) to evaluate their recommender engines offline. In this video, we'll cover how those metrics work, and why they're not always the best way to evaluate real-world recommender systems.
WWCode: Python 101 Workshop - Women Who Code Singapore
Speaker: Yue Lin An introduction for experienced programmers into the basics of Python syntax and functionality. Our director Yue Lin Choong, pythonista in training, will be showing us the tips and tricks of this powerful language. • Please bring your own laptop. • Install Anaconda (https://www.continuum.io/downloads) (Python 3 will be used). This will install Python and Jupyter Notebook (http://jupyter.org/), which we will use for our workshop. • Clone Python Tutorial (https://github.com/wwcodesg/python-tutorials) github repository. • This Workshop assumes programming background. Event Page: https://www.meetup.com/Women-Who-Code-Singapore/events/244456523/ Produced by Engineers.SG Help us caption & translate this video! https://amara.org/v/cykN/
Views: 157 Engineers.SG
Deep Learning: Natural Language Processing in Python
More courses at the home page: https://lazyprogrammer.me Deep Learning part 6 Get your 85% OFF COUPON HERE https://www.udemy.com/natural-language-processing-with-deep-learning-in-python/?couponCode=YOUTUBE2 In this course we are going to look at advanced NLP. Previously, you learned about some of the basics, like how many NLP problems are just regular machine learning and data science problems in disguise, and simple, practical methods like bag-of-words and term-document matrices. These allowed us to do some pretty cool things, like detect spam emails, write poetry, spin articles, and group together similar words. In this course I’m going to show you how to do even more awesome things. We’ll learn not just 1, but 4 new architectures in this course. First up is word2vec. In this course, I’m going to show you exactly how word2vec works, from theory to implementation, and you’ll see that it’s merely the application of skills you already know. Word2vec is interesting because it magically maps words to a vector space where you can find analogies, like: king - man = queen - woman France - Paris = England - London December - Novemeber = July - June We are also going to look at the GLoVe method, which also finds word vectors, but uses a technique called matrix factorization, which is a popular algorithm for recommender systems. Amazingly, the word vectors produced by GLoVe are just as good as the ones produced by word2vec, and it’s way easier to train. We will also look at some classical NLP problems, like parts-of-speech tagging and named entity recognition, and use recurrent neural networks to solve them. You’ll see that just about any problem can be solved using neural networks, but you’ll also learn the dangers of having too much complexity. Lastly, you’ll learn about recursive neural networks, which finally help us solve the problem of negation in sentiment analysis. Recursive neural networks exploit the fact that sentences have a tree structure, and we can finally get away from naively using bag-of-words. All of the materials required for this course can be downloaded and installed for FREE. We will do most of our work in Numpy and Matplotlib,and Theano. I am always available to answer your questions and help you along your data science journey. See you in class!
Views: 835 Lazy Programmer
Mining Data from Genome Browsers (2010)
February 02, 2010. Tyra Wolfsberg, Ph.D. Current Topics in Genome Analysis 2010 Handout: http://www.genome.gov/Pages/Research/IntramuralResearch/DIRCalendar/CurrentTopicsinGenomeAnalysis2010/CTGA2010_Lec04_color.pdf More: http://www.genome.gov/12514286
Esri DevSummit: the future of GIS technology
Join Gordon Sumerling to discover highlights from the 2019 Esri DevSummit, with news on the latest technology and what to look forward to in coming releases.
Views: 110 Esri Australia
Candlestick  Analysis in Hindi
www.MarketGurukul.com 100+ FREE Videos on our Android App, install it here https://play.google.com/store/apps/details?id=com.httpmetabulls.marketgurukul [email protected] The First step to become a successful trader is to understand the Psychology of Trading and cultivating Emotional Discipline. A Beginner to the Forex Trading field usually comes with no knowledge and full of wishful thinking. The world around him, the forums, the blogs, the brokers all convince him that it's about some Magical System and Strategy that will make him a millionaire in a year or two. Usually nobody talks about the huge Psychological warfare that a man undergoes with himself and his emotions like Fear, Greed, Anger, and Hope. You can make money in Currency and Commodity Trading even without a single Indicator, but without Emotional Discipline and Money Management, you cannot make a single penny with a thousand indicator. I suggest you have a look at the video fully, even if you already know what a Candlestick is in Technical Analysis. Take care and Be blessed... don't forget to Subscribe (click below the video) and Like and Comment. :)
Views: 1359609 MarketGurukul
Big Data Hadoop Training | Big Data Hadoop Online Training | Big Data Hadoop Tutorial | Youtube
Link - http://intellipaat.com/hadoop-developer-training/, email us - [email protected] Big Data Hadoop Online Training provided by Intellipaat is one of the best Big Data Hadoop Training you can receive across the globe. You will learn complete Big Data Hadoop and get 360 degree overview about the technology. We provide 24/7 support & Life time access to the course. Key Features of Intellipaat Big Data Hadoop Training: 1. In-depth high quality interactive e-learning sessions 2. Multiple assignment, project work and lab exercises for practice 3. Lifetime 24/7 access to video tutorials with on-demand training support 4. Job assistance - US, UK, and Indian Clients and partners. 5. Sample resumes preparation along with mock up interview session 6. Intellipaat Course Completion Certificate at the end of the course 7. Professional faculty with more than 18 years of experience in the industry 8. Community of more than +120000 users across the globe. Intellipaat had trained participants across globe on Big Data Hadoop Training from different regions like Europe,US,Spain,Germany, Singapore, Malaysia , Australia, UK, Saudi Arabia,Egypt, Bay Area, Chicago and MA. Intellipaat provide online Big Data Hadoop to make professional to get started with career enhancement. Visit us - http://intellipaat.com/hadoop-developer-training/ [email protected]
Views: 196 Intellipaat
Bitcoin Bull-Curious Analysis? Bounce to $5,000?!
Trade Like a Professional - The Art and Application of Technical Analysis: http://krown-trading.teachable.com/courses/349734 ***Master Your Options*** - https://krown-trading.teachable.com/p/master-your-options/ - Years as a Professional Market Maker Authorized Trader synthesized down into a 42 Module Road Map for the Purpose of Derivative Domination Use Discount Code BF20 for 20% Off for the Month of November! ***Krown Jewel Indicator Mastery*** https://krown-trading.teachable.com/?affcode=236462_6ozjtirq My preferred method of scalping by timing both entries and exits in a trifecta of three unique oscillators Complimentary 10% off trading fees for BitMEX https://www.bitmex.com/register/4l6ovV Complimentary 10% off trading fees for Deribit ***https://www.deribit.com/reg-1170.7653*** Instagram - Krowncrypto ***Cave Discord*** https://discord.gg/hzKU7qe ***Frontier Discord*** https://discord.gg/vYf3AMS Please do consider gently tapping the like & subscribe button as I update my thoughts on the market daily! ***Complimentary Portfolio Tracking and Balancing Tool*** https://docs.google.com/spreadsheets/d/1Y8WtgxCZen4yt8UwAmqxQjfDR42-kFQ8iRx_3rJi0CI/edit#gid=1158545460 **Project Fundamental Analysis*** - SECRETS of the Cave is live.. all sign-ups before May 1 receive a massive 40% discount. Check it out here.. https://www.krownscryptocave.com/secrets/index.html If you feel so inclined to support my Coffee and Ground Beef diet then here is a link to my BTC address - 3QnMhH3QKjoNMprArJ2PyY2t8MWPCDtmJv Recommended Reading for Learning the Art of Trading - Technical Analysis and Stock Market Profits https://amzn.to/2qQAz7A Reminiscences of a Stock Operate https://amzn.to/2F3WD3G S9 Antminer (Cryptocurrency mining rig) - https://amzn.to/2F58crm Checkout my favorite exchange Bitmex - https://www.bitmex.com/register/ou4vcl this link will give you reduced fees. Also checkout my Steemit Account as I do post exclusive content here - https://steemit.com/@realcrowncrypto Twitter for Intra-day Mini Update - https://twitter.com/KrownCryptoCave #Bitcoin #BitcoinNews #BitcoinAnalysis Disclaimer - The content in this video and on this channel are not intended to be financial advice. The content in this video and on this channel are only intended for entertainment purposes only!
Views: 827 Krown's Crypto Cave
Reco4J: A Recommendation Engine Exploiting Collective Intelligence on Big Data
This session provides a close look at Reco4J, a Java graph-based recommendation engine—that is, a software product suggesting items of relevance to users. Today the most advanced types of these functionalities are available only to internet giants. This open source project targets the implementation and improvement of state-of-the-art algorithms in this promising research field as well as their diffusion among a broader audience using an on-premises or cloud service solution. Reco4J leverages collaborative filtering techniques and supports composable models and algorithms, social recommendations, and multitenancy. The Neo4J graph database and Hadoop distributed processing system are integrated to guarantee big data support. Authors: Alessandro Negro Alessandro Negro, CTO of Wirex and Founder and Project Leader of Reco4J, has been working with Data Management Technology since 2003 when he took part to the GRelC project, that aimed at providing a set of advanced data grid services to transparently, efficiently and securely manage databases on the Grid Environment. He started working on Big Data in 2008 when he worked for Euro Mediterranean Centre For Climate Change (CMCC), where he deployed a metadata handling system to handle the huge quantity of data produced by the centre and from other climate change related centres that took part to the ClimateG testbed. He has published widely on Grid Data Management and Metadata Management to conferences proceedings and journals. He holds a BSc in Computer Engineering, MSc in Computer Engineering, and a PhD in Interdisciplinary Science and Technology. He is a Member of IEEE, IEEE Computer Society and ACM since 2007. His interests range from the software architecture to Data Management, from programming languages to Linux and UNIX, from Cloud Computing to Machine Learning, from Data Warehouse and Data Mining to NoSQL database. View more trainings by Alessandro Negro at https://www.parleys.com/author/alessandro-negro Luigi Giuri Luigi Giuri is an entrepreneur, researcher, and professional in the computer science and information technology sector. He is currently Chairman and CEO at Wirex, a software development company based in Italy. Since 2000 he started taking an entrepreneurial approach to science and technology. After three years devoted to development of Internet portals and e-commerce solutions for customers like Telecom Italia, Wind, and Mastercard, in 2003 he co-founded Wirex to concentrate on the development of online gaming business solutions. Under his guide the company started with a state of the art sports betting software, and it has been grown up until today to be unique in its coverage of the whole range of gaming products, including live casino, RNG casino, poker, bingo, and affiliate marketing solutions. Although his executive position impels primary occupation on management activities, the agile Wirex development process he built allows him to direct research and development of innovative solutions, and to put hands into each and every line of code in an efficient and effective manner. In the 1990s he was a researcher at Fondazione Ugo Bordoni, focusing his activity on computer security, particularly: role-based access control; SQL security; Java security; computer security evaluation criteria. He served as program committee member for ACM Workshop on Role-Based Access Control 1998, 1999, and 2000, and as a reviewer for 5th European Symposium on Research in Computer Security (ESORICS), 1998. He actively participated as Italian representative to ISO/IEC standardization committees, including: JTC1/SC32 Working Group 3 ?Database language - SQL?, 1997 and 1998, conceiving and writing the SQL:1999 standard new role-based security features; JTC1/SC27 Working Group 3 ?Evaluation Criteria for IT Security?, 1997, contributing with modularization of security criteria. Luigi Giuri graduated (summa cum laude) in Computer Science in 1991 at the University of Pisa (Italy). View more trainings by Luigi Giuri at https://www.parleys.com/author/luigi-giuri Find more related tutorials at https://www.parleys.com/category/developer-training-tutorials
Views: 372 Oracle Developers
How to calculate Normalized z score
Tutorial on finding the mean, z score when you know the area (or probability). Playlist on Z scores http://www.youtube.com/course?list=EC6157D8E20C151497 Like MyBookSucks: http://www.facebook.com/PartyMoreStudyLess Created by David Longstreet, Professor of the Universe, MyBookSucks http://www.linkedin.com/in/davidlongstreet
Views: 34664 statisticsfun
O'Reilly Webcast: Python for Data Analysis
*Note: Audio quality a little poor. Finding great data analysts is difficult. Despite the explosive growth of data in industries ranging from manufacturing and retail to high technology, finance, and healthcare, learning and accessing data analysis tools has remained a challenge. This webcast will highlight one of the most important tools in the field—Python. In this hands-on webcast presented by Wes McKinney, author of "Python for Data Analysis", he will showcase a number of examples and you will receive an introduction to some of the most important tools in the Python language for: data preparation data analysis data visualization Learn about the growing field of data analysis from an expert in the community. About Wes McKinney Wes McKinney is CTO and Cofounder of Lambda Foundry, Inc. From 2010 to 2012, he served as a Python consultant to hedge funds and banks while developing pandas, a widely used Python data analysis library. From 2007 to 2010, he researched global macro and credit trading strategies at AQR Capital Management. He graduated from MIT with an S.B. in Mathematics. He is on leave from the Duke University Ph.D program in Statistics. Produced by: Yasmina Grecp
Views: 5507 O'Reilly
Elysium Academy : Big-Data - Hadoop Introduction Chapter 1
Big Data Using Hadoop: Hadoop Introduction-Duration [3 mins 30 seconds] What is Hadoop-MapReduce framework-Fuction of MapReduce-Advantages of Hadoop Computing-Tools required to process or deploy Hadoop framework ___________________ Elysium Academy Private Limited [E-Learning Division] Elysium Group of Companies, Singapore - Chennai - Madurai - Coimbatore - Trichy - Bangalore [email protected] http://elysiumacademy.org
Views: 577 elysiumacademy
Intro to ROS
Former Rover Software Team Lead, Harry J.E Day goes through an introduction to "the Robotics Operating System" (ROS) covering setting up ROS catkin workspaces, and basic publishers and subscribers. You will need the vm image from here: http://bluesat.com.au/vm-image/ The slides from this presentation can be found here: http://bluesat.com.au/an-introduction-to-ros-small/ Errata: - Some slides in the recording refer to "std_msg" there should be an 's' on the end (i.e "std_msgs") - On the slide "A Basic Node - CMakeLists.txt (cont)" there should only be one 'o' in "node." - In step 4 of the "Publisher (cont)" section there should be an e on the end of "pub_node" - The person on the last slide was the first robotics COO at BLUEsat not CTO. These have all been corrected in the slides.
Views: 772 BLUEsat UNSW
Introduction To Data Visualization | Multi Dimensional Data | Part 8 | Eduonix
Isn’t learning Data Visualization fun? We're done with one and two-dimensional data. Today we will be covering the third and the final topic on dimensions which is the multi-dimensional data! A multi-dimensional database or MDB as it's called is optimized for data warehouse and online analytical processing applications. The basic utility of MDB is to summarize a particular set of operations, trends, tasks, etc. Visually this type of data denotes a cube-like structure, where all the data is displayed in a well-sorted way. Let's learn more about MDB in today's class. You can follow this entire playlist here: http://bit.ly/2qOJcPV Learn how to visualize your data using Python? Click here: https://goo.gl/seibYz Don't forget to check our new project on Data Science Foundational Program on Kickstarter. This program incorporates everything from beginner-level concepts to real-world implementation along with 4 courses, 2 e-books, Interview preparation guide, multiple labs, numerous practice tests and much more. Read more - https://kck.st/2CuIkay Thank you for watching! We’d love to know your thoughts in the comments section below. Also, don’t forget to hit the ‘like’ button and ‘subscribe’ to ‘Eduonix Learning Solutions’ for regular updates. https://goo.gl/BCmVLG Follow Eduonix on other social networks: ■ Facebook: https://goo.gl/ZqRVjS ■ Twitter: https://goo.gl/oRDaji ■ Google+: https://goo.gl/mfPaxx ■ Instagram: https://goo.gl/7f5DUC | @eduonix ■ Linkedin: https://goo.gl/9LLmmJ ■ Pinterest: https://goo.gl/PczPjp
AutoCad 11 - Plotting surveying data for a lot
Using surveyor's angle units and data, a lot layout is drawn using @relative coordinates and dynamic input shut off.
Views: 122721 captnwill
Mobile Crowdsourcing & Socio-Physical Analytics for “Smart City” Services
Over the last 5 years, Archan has worked on building and deploying multiple context-aware applications across multiple public venues in Singapore. In this talk, Archan will describe how a complementary combination of human-centric and infrastructural sensing can enable finer-grained, proactive understanding of urban conditions and events. First, Archan will describe research on urban mobile crowdsourcing, where the crowdsourcing platform recommends tasks based on predicted worker movement trajectories. He will describe experiences from real-world deployments, both on a university campus and across the city, which illustrate the need to incorporate human behavioral dynamics into crowdsourcing solutions. Subsequently, he shall introduce more recent work on socio-physical analytics, which fuses sensor data from physical urban resources (such as buses, taxis and parking garages) with social media sensing to identify and characterize urban micro-events. Such fine-grained spatiotemporal event localization can help urban planners more precisely characterize the socio-economic activities of city neighborhoods. Archan Misra is a Professor, and the Associate Dean of Research, in the School of Information Systems at Singapore Management University (SMU). His current research interests lie in systems-oriented research in the areas of wearable & IoT sensing, real-time socio-physical analytics and urban mobile crowdsourcing technologies. He is also a Director of the LiveLabs research center, as well as the Director of the recently established Center for Applied Smart-Nation Analytics (CASA). Over a 20-year research career spanning both academics and industry (at IBM Research and Bellcore), Archan has worked extensively on problems spanning wireless networking, mobile & pervasive computing and urban sensing. Archan holds a Ph.D. from the University of Maryland at College Park, and chaired the IEEE Computer Society’s Technical Committee on Computer Communications (TCCC) from 2005-2007.