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Using Data Mining in Forecasting Problems
 
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In this presentation, Analytics 2012 keynote speaker, Tim Rey from Dow Chemical Company, shares methodologies for using data mining to get the most value out of time series data.
Views: 8754 SAS Software
Why you should study data mining
 
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Why you should study data mining? A talk given at UCLA for communications work.
Views: 137 Abhi D
Presentation Data Mining & Decision-making: Case of Amazon.com
 
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Week 2 assignment for MooreFMIS7003 course at NCU. Prepared by FahmeenaOdetta Moore.
Lecture - 34 Data Mining and Knowledge Discovery
 
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Lecture Series on Database Management System by Dr. S. Srinath,IIIT Bangalore. For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 133255 nptelhrd
Data pre processing – 1 Summarization and Cleaning Methods
 
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Project Name: e-Content generation and delivery management for student –Centric learning Project Investigator:Prof. D V L N Somayajulu
Views: 5109 Vidya-mitra
Data Structures and Algorithms Complete Tutorial Computer Education for All
 
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Computer Education for all provides complete lectures series on Data Structure and Applications which covers Introduction to Data Structure and its Types including all Steps involves in Data Structures:- Data Structure and algorithm Linear Data Structures and Non-Linear Data Structure on Stack Data Structure on Arrays Data Structure on Queue Data Structure on Linked List Data Structure on Tree Data Structure on Graphs Abstract Data Types Introduction to Algorithms Classifications of Algorithms Algorithm Analysis Algorithm Growth Function Array Operations Two dimensional Arrays Three Dimensional Arrays Multidimensional arrays Matrix operations Operations on linked lists Applications of linked lists Doubly linked lists Introductions to stacks Operations on stack Array based implementation of stack Queue Data Structures Operations on Queues Linked list based implementation of queues Application of Trees Binary Trees Types of Binary Trees Implementation of Binary Trees Binary Tree Traversal Preorder Post order In order Binary Search Tree Introduction to Sorting Analysis of Sorting Algorithms Bubble Sort Selection Sort Insertion Sort Shell Sort Heap Sort Merge Sort Quick Sort Applications of Graphs Matrix representation of Graphs Implementations of Graphs Breadth First Search Topological Sorting Subscribe for More https://www.youtube.com/channel/UCiV37YIYars6msmIQXopIeQ Find us on Facebook: https://web.facebook.com/Computer-Education-for-All-1484033978567298 Java Programming Complete Tutorial for Beginners to Advance | Complete Java Training for all https://youtu.be/gg2PG3TwLx4
How to Create an Awesome Slide Presentation (for Keynote or Powerpoint)
 
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In this episode of SPI TV, I'm going to show you how to create an awesome slide deck for your next presentation, one that captivates your audience and supports your talk, not bores people to death and puts people to sleep. I've performed dozens of presentations myself, and I take great pride in how I approach my slide deck. I'm always getting complimented on my slides, and I want the same to happen to you. Creating great slides doesn't have to be difficult, and with a few simple rules and some guidelines to follow, you'll stand out as a top presenter the next time you're on stage or presenting in front of a group. Please note that I do talk briefly about why this is important, however if you'd like -~-~~-~~~-~~-~- Building an email list? Watch my latest video: "How to Get More Email Subscribers (17 Lead Magnet Ideas)": https://www.youtube.com/watch?v=6te1AlLUA10 -~-~~-~~~-~~-~-
Views: 872386 Pat Flynn
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: 665294 Hitesh Choudhary
Lecture 13 - Validation
 
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Validation - Taking a peek out of sample. Model selection and data contamination. Cross validation. Lecture 13 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/course/machine-learning/id515364596 and on the course website - http://work.caltech.edu/telecourse.html Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/ This lecture was recorded on May 15, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
Views: 69035 caltech
Data Mining with Weka (1.3: Exploring datasets)
 
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Data Mining with Weka: online course from the University of Waikato Class 1 - Lesson 3: Exploring datasets http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/IGzlrn https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 75615 WekaMOOC
Data Mining with Weka (1.1: Introduction)
 
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Data Mining with Weka: online course from the University of Waikato Class 1 - Lesson 1: Introduction http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/IGzlrn https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 118712 WekaMOOC
Intelligent Heart Disease Prediction System Using Data Mining Techniques || in Bangalore
 
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The healthcare industry collects huge amounts of healthcare data which, unfortunately, are not “mined” to discover hidden information for effective decision making. Discovery of hidden patterns and relationships often goes unexploited. Advanced data mining techniques can help remedy this situation. This research has developed a prototype Intelligent Heart Disease Prediction System (IHDPS) using data mining techniques, namely, Decision Trees, Naïve Bayes and Neural Network. Results show that each technique has its unique strength in realizing the objectives of the defined mining goals. IHDPS can answer complex “what if” queries which traditional decision support systems cannot. Using medical profiles such as age, sex, blood pressure and blood sugar it can predict the likelihood of patients getting a heart disease. It enables significant knowledge, e.g. patterns, relationships between medical factors related to heart disease, to be established. IHDPS is Web-based, user-friendly, scalable, reliable and expandable. It is implemented on the .NET platform.
Looking Back On Clinical Decision Support and Data Warehousing
 
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Dale Sanders will take a slide deck previously prepared in 2006, from a lecture entitled, "The Power of an Enterprise Data Warehouse in Clinical Decision Support", presented to several informatics masters classes at Northwestern University and the University of Victoria. He won’t change anything about the slide deck, including the content and the old school graphics. The concept with this webinar is to give a “time capsule” perspective on past thinking and contrast that against current thoughts and trends in the market. Some of the information will be laughably wrong and naive, and some of the information will still be relevant. The hope is, by regularly reviewing our past, we will better inform our future.
Views: 186 Health Catalyst
Final Year Projects | Horizontal Aggregations in SQL to Prepare Data Sets for Data Mining Analysis
 
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Final Year Projects | Horizontal Aggregations in SQL to Prepare Data Sets for Data Mining Analysis More Details: Visit http://clickmyproject.com/horizontal-aggregations-in-sql-to-prepare-data-sets-for-data-mining-analysis-p-124.html Including Packages ======================= * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-778-1155 Visit Our Channel: http://www.youtube.com/clickmyproject Mail Us : [email protected]
Views: 2562 Clickmyproject
Cement Manufacturing
 
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For more information: http://www.7activestudio.com [email protected] http://www.7activemedical.com/ [email protected] http://www.sciencetuts.com/ [email protected] Contact: +91- 9700061777, +91- 9100061777 7 Active Technology Solutions Pvt.Ltd. is an educational 3D digital content provider for K-12. We also customise the content as per your requirement for companies platform providers colleges etc . 7 Active driving force "The Joy of Happy Learning" -- is what makes difference from other digital content providers. We consider Student needs, Lecturer needs and College needs in designing the 3D & 2D Animated Video Lectures. We are carrying a huge 3D Digital Library ready to use. MANUFACURE OF PORTLAND CEMENT:Raw Materials: The raw materials required for cement manufacture are. Lime stone which provides calcium. Clay which provides aluminium and silica.Cement is manufactured by two methods they are. Wet process. Dry process. Now let us discuss wet process and dry process detailed.WET PROCESS:In the wet process, first the clay is purified by washing in a wash mill.The lime stone is crushed into small particles and mixed with purified clay in proper proportions to get raw slurry.DRY PROCESS: In the dry process the raw materials are mixed in proper proportions.The mixture is dried, pulverized (Crushed into fine particles) and made uniform. The resulting powder is called "raw material".The raw slurry or raw meal, obtained by one of wet or dry process called charge. Charge is introduced into a rotary Kiln.The rotary kiln consists of a steel cylinder about 150meters long and 4meter diameter and rotates 30 to 60 turns per hour.At one end of the cylinder a screw conveyer is arranged which slowly allows the charge into the cylinder.The other end of the cylinder, a burneris arranged coal or burning oil is burnt at this end.The charge entering the cylinder slowly moves towards the hot end.At the burning end of the kiln, the temperature is around 1700 to 1900degrees centigrade, at this end some chemical reactions takes place between calcium oxide and aluminium silicates.Mixture of calcium silicates and calcium aluminates is formed.The resultant product consists of gray hard balls called clinker cement.Clinker cement is cooled, ground to fine powder and mixed with 2 to 3 percent of gypsum.
Views: 1114312 7activestudio
Advanced Data Mining with Weka (2.1: Incremental classifiers in Weka)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 2 - Lesson 1: Incremental classifiers in Weka http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/4vZhuc https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 2956 WekaMOOC
A Survey on Trajectory Data Mining: Techniques and Applications | Final Year Projects 2016 - 2017
 
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Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://myprojectbazaar.com Get Discount @ https://goo.gl/dhBA4M Chat Now @ http://goo.gl/snglrO Visit Our Channel: https://www.youtube.com/user/myprojectbazaar Mail Us: [email protected]
Views: 200 myproject bazaar
ROC Curves and Area Under the Curve (AUC) Explained
 
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An ROC curve is the most commonly used way to visualize the performance of a binary classifier, and AUC is (arguably) the best way to summarize its performance in a single number. As such, gaining a deep understanding of ROC curves and AUC is beneficial for data scientists, machine learning practitioners, and medical researchers (among others). SUBSCRIBE to learn data science with Python: https://www.youtube.com/dataschool?sub_confirmation=1 JOIN the "Data School Insiders" community and receive exclusive rewards: https://www.patreon.com/dataschool RESOURCES: - Transcript and screenshots: https://www.dataschool.io/roc-curves-and-auc-explained/ - Visualization: http://www.navan.name/roc/ - Research paper: http://people.inf.elte.hu/kiss/13dwhdm/roc.pdf LET'S CONNECT! - Newsletter: https://www.dataschool.io/subscribe/ - Twitter: https://twitter.com/justmarkham - Facebook: https://www.facebook.com/DataScienceSchool/ - LinkedIn: https://www.linkedin.com/in/justmarkham/
Views: 258008 Data School
Introduction to Data Mining: Data Cleaning
 
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In this video we introduce Data Preprocessing, known as data cleaning, and the different strategies used to tackle it. -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 3600+ employees from over 742 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Learn more about Data Science Dojo here: https://hubs.ly/H0f8M6d0 See what our past attendees are saying here: https://hubs.ly/H0f8Ln10 -- Like Us: https://www.facebook.com/datascienced... Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/data... Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_scienc... -- Vimeo: https://vimeo.com/datasciencedojo
Views: 6803 Data Science Dojo
Nikunj Oza: "Data-driven Anomaly Detection" | Talks at Google
 
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This talk will describe recent work by the NASA Data Sciences Group on data-driven anomaly detection applied to air traffic control over Los Angeles, Denver, and New York. This data mining approach is designed to discover operationally significant flight anomalies, which were not pre-defined. These methods are complementary to traditional exceedance-based methods, in that they are more likely to yield false alarms, but they are also more likely to find previously-unknown anomalies. We discuss the discoveries that our algorithms have made that exceedance-based methods did not identify. Nikunj Oza is the leader of the Data Sciences Group at NASA Ames Research Center. He also leads a NASA project team which applies data mining to aviation safety. Dr. Ozaąs 40+ research papers represent his research interests which include data mining, machine learning, anomaly detection, and their applications to Aeronautics and Earth Science. He received the Arch T. Colwell Award for co-authoring one of the five most innovative technical papers selected from 3300+ SAE technical papers in 2005. His data mining team received the 2010 NASA Aeronautics Research Mission Directorate Associate Administratorąs Award for best technology achievements by a team. He received his B.S. in Mathematics with Computer Science from MIT in 1994, and M.S. (in 1998) and Ph.D. (in 2001) in Computer Science from the University of California at Berkeley.
Views: 7690 Talks at Google
More Data Mining with Weka (3.4: Learning association rules)
 
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More Data Mining with Weka: online course from the University of Waikato Class 3 - Lesson 4: Learning association rules http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/nK6fTv https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 12448 WekaMOOC
mod01lec01
 
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Views: 20249 Data Mining - IITKGP
More Data Mining with Weka (1.6: Working with big data)
 
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More Data Mining with Weka: online course from the University of Waikato Class 1 - Lesson 6: Working with big data http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/Le602g https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 9727 WekaMOOC
Data Mining with Weka (4.1: Classification boundaries)
 
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Data Mining with Weka: online course from the University of Waikato Class 4 - Lesson 1: Classification boundaries http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/augc8F https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 24837 WekaMOOC
FDA Director of Data Mining, Skip Francis' Keynote on Complex Data Analytics
 
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Skip Francis, MD keynote speech on opportunity and challenges for use of mobile health and social media data for analytics. Slides available at: http://go.umd.edu/mobilesocialanalytics
AWS In 10 Minutes | AWS Tutorial For Beginners | AWS Training Video | AWS Tutorial | Simplilearn
 
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This AWS tutorial video is designed to help you in understanding about AWS architectural principles and services - in just 10 minutes. You will learn how cloud computing is redefining the rules of IT infrastructure architecture, as well as how to design, plan, and scale your AWS Cloud implementation with best practices recommended by Amazon. This tutorial is ideal for beginners to learn what is AWS all about. Below are the topics covered in this AWS Tutorial -( 00:29 ) What is AWS -( 01:38 ) Why AWS is such a hit? -( 03:54 ) AWS Services Overview -( 06:04 ) AWS Pricing -( 07:56 ) AWS Future To gain more knowledge of AWS and AWS Services, check our AWS Certification Training Course: https://www.simplilearn.com/cloud-computing/aws-solution-architect-associate-training?utm_campaign=AWS-Minutes-r4YIdn2eTm4&utm_medium=Tutorials&utm_source=youtube #aws #awstutorial #awstrainingvideos #awscertification #awstraining #simplilearnaws Subscribe to Simplilearn channel to get more AWS video updates: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Check our complete AWS Tutorial for beginners playlist here: https://www.youtube.com/watch?v=98ya1LiEU00&list=PLEiEAq2VkUULlNtIFhEQHo8gacvme35rz Cloud computing articles - https://www.simplilearn.com/resources/virtualization-and-cloud-computing?utm_campaign=AWS-ELB-Tutorial-YO4L_9poF3g&utm_medium=Tutorials&utm_source=youtube - - - - - - - - - - - - - - About the Simplilearn AWS course: This AWS certification course will help you learn the key concepts, latest trends, and best practices for working with the AWS architecture – and become industry-ready aws certified solutions architect to help you qualify for a position as a high-quality AWS professional. Practice assignments and three live projects are designed to give you hands-on experience with the AWS management console. The course begins with an overview of the AWS platform before diving into its individual elements: IAM, VPC, EC2, EBS, ELB, CDN, S3, EIP, KMS, Route 53, RDS, Glacier, Snowball, Cloudfront, Dynamo DB, Redshift, Auto Scaling, Cloudwatch, Elastic Cache, CloudTrail, and Security.. By the end of this AWS training course you F3will be able to: 1. Formulate solution plans and provide guidance on AWS architectural best practices 2. Design and deploy scalable, highly available, and fault tolerant systems on AWS 3. Identify the lift and shift of an existing on-premises application to AWS 4. Decipher the ingress and egress of data to and from AWS 5. Select the appropriate AWS service based on data, compute, database, or security requirements 6. Estimate AWS costs and identify cost control mechanisms - - - - - - - - - - - - - - Who should go for this AWS course? This course is ideal for professionals who want to pursue a career in Cloud computing or develop Cloud applications with AWS. You’ll become an asset to any organization, helping leverage best practices around advanced cloud based solutions and migrate existing workloads to the cloud. - - - - - - - - - - - - - - Following projects are covered in this AWS course: Project 1 Create a custom VPC with public and private subnets on two availability zones and launch instances into each subnet. Project 2 Launch two web servers and configure a load balancer and auto scaling. Project 3 Configure RD Gateway on a VPC with a public and private subnet. - - - - - - - - - - - - - - For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 460337 Simplilearn
Data Structures Using C/C++ (HINDI/URDU)
 
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Subscribe : http://bit.ly/XvMMy1 Download App: http://bit.ly/easytuts4youapp Website : http://www.easytuts4you.com FB : https://www.facebook.com/easytuts4youcom
Views: 301445 easytuts4you
KNN Algorithm - How KNN Algorithm Works With Example | Data Science For Beginners | Simplilearn
 
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This KNN Algorithm tutorial (K-Nearest Neighbor Classification Algorithm tutorial) will help you understand what is KNN, why do we need KNN, how do we choose the factor 'K', when do we use KNN, how does KNN algorithm work and you will also see a use case demo showing how to predict whether a person will have diabetes or not using KNN algorithm. KNN algorithm can be applied to both classification and regression problems. Apparently, within the Data Science industry, it's more widely used to solve classification problems. It’s a simple algorithm that stores all available cases and classifies any new cases by taking a majority vote of its k neighbors. Now lets deep dive into this video to understand what is KNN algorithm and how does it actually works. Below topics are explained in this K-Nearest Neighbor Classification Algorithm (KNN Algorithm) tutorial: 1. Why do we need KNN? 2. What is KNN? 3. How do we choose the factor 'K'? 4. When do we use KNN? 5. How does KNN algorithm work? 6. Use case - Predict whether a person will have diabetes or not To learn more about Machine Learning, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1 You can also go through the slides here: https://goo.gl/XP6xcp Watch more videos on Machine Learning: https://www.youtube.com/watch?v=7JhjINPwfYQ&list=PLEiEAq2VkUULYYgj13YHUWmRePqiu8Ddy #MachineLearningAlgorithms #Datasciencecourse #datascience #SimplilearnMachineLearning #MachineLearningCourse Simplilearn’s Machine Learning course will make you an expert in Machine Learning, a form of Artificial Intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. You will master Machine Learning concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, hands-on modeling to develop algorithms and prepare you for the role of Machine Learning Engineer Why learn Machine Learning? Machine Learning is rapidly being deployed in all kinds of industries, creating a huge demand for skilled professionals. The Machine Learning market size is expected to grow from USD 1.03 billion in 2016 to USD 8.81 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period. You can gain in-depth knowledge of Machine Learning by taking our Machine Learning certification training course. With Simplilearn’s Machine Learning course, you will prepare for a career as a Machine Learning engineer as you master concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms. Those who complete the course will be able to: 1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling. 2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project. 3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning. 4. Understand the concepts and operation of support vector machines, kernel SVM, Naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more. 5. Model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems The Machine Learning Course is recommended for: 1. Developers aspiring to be a data scientist or Machine Learning engineer 2. Information architects who want to gain expertise in Machine Learning algorithms 3. Analytics professionals who want to work in Machine Learning or artificial intelligence 4. Graduates looking to build a career in data science and Machine Learning Learn more at: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=What-is-Machine-Learning-7JhjINPwfYQ&utm_medium=Tutorials&utm_source=youtube For more updates on courses and tips follow us on: - Facebook: https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the Android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 24480 Simplilearn
Introduction to Machine Learning - An Academic Presentation
 
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This is an introductory talk on Machine Learning (for beginners with very basic or no knowledge), it's relation with Big Data and other related fields such as Statistics & Data Mining. This talk was intended to provide an overview of types of Machine Learning techniques along with their industry use cases. This is a recording from the talk delivered at ITC Infotech India Ltd. on 07-Aug-2015 Speakers: Anshuman Panwar & Naga Satyendra Yendamuri
Advanced Data Mining with Weka (1.1: Introduction)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 1 - Lesson 1: Introduction http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/JyCK84 https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 6641 WekaMOOC
ASEE MidAtlantic Conference Talk on Educational Data Mining
 
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Washington D.C. ASEE Conference giving talk
Advanced Data Mining with Weka (3.3: Using R to plot data)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 3 - Lesson 3: Using R to plot data http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/8yXNiM https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 3393 WekaMOOC
Advanced Data Mining with Weka (2.6: Application to Bioinformatics – Signal peptide prediction)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 2 - Lesson 6: Application to Bioinformatics – Signal peptide prediction http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/4vZhuc https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 2707 WekaMOOC
Statistical Process Control (SPC) in Hindi – (Part 1). SPC  हिंदी में सीखे।
 
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Understand what is Statistical Process Control (SPC) in Hindi. This is part 1 of the video, watch concluding part 2 , to cover rest of the content. SPC क्या है हिंदी में सीखे। ये पहला भाग है , प्रोग्राम को पूरा समझने के लिए इसका दूसरा भाग भी अवस्य देखे। Watch other videos from ‘Quality HUB India’- https://www.youtube.com/channel/UCdDEcmELwWVr_77GpqldKmg/videos • Subscribe to my channel ‘Quality HUB India’ for getting notification. • Like, comment & Share the video with your colleague and friends Link to buy My books 1. Mistake-Proofing Simplified: An Indian Perspective: https://www.amazon.in/gp/product/8174890165/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=8174890165&linkCode=as2&tag=qhi-21 2. Management Thoughts on Quality for Every Manager: https://www.amazon.in/gp/product/B0075MCLTO/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B0075MCLTO&linkCode=as2&tag=qhi-21 Gadgets I use and Link to buy 1. OnePlus 5 - Mobile https://www.amazon.in/gp/product/B01MXZW51M/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B01MXZW51M&linkCode=as2&tag=qhi-21 2. HP 14-AM122TU 14-inch Laptop https://www.amazon.in/gp/product/B06ZYLLT8G/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B06ZYLLT8G&linkCode=as2&tag=qhi-21 3. Canon EOS 700D 18MP Digital SLR Camera https://www.amazon.in/gp/product/B00VT61IKA/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B00VT61IKA&linkCode=as2&tag=qhi-21 4. Sonia 9 Feet Light Stand LS-250 https://www.amazon.in/gp/product/B01K7SW2OQ/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B01K7SW2OQ&linkCode=as2&tag=qhi-21 5. Sony MDR-XB450 On-Ear EXTRA BASS Headphones https://www.amazon.in/gp/product/B00NFJGUPW/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B00NFJGUPW&linkCode=as2&tag=qhi-21 6. QHM 602 USB MINI SPEAKER https://www.amazon.in/gp/product/B00L393EXC/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B00L393EXC&linkCode=as2&tag=qhi-21 7. Photron Tripod Stedy 400 with 4.5 Feet Pan Head https://www.amazon.in/gp/product/B00UBUMCNW/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B00UBUMCNW&linkCode=as2&tag=qhi-21 8. Tie Clip Collar mic Lapel https://www.amazon.in/gp/product/B00ITOD6NM/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B00ITOD6NM&linkCode=as2&tag=qhi-21 9. Hanumex Generic Green BackDrop Background 8x12 Ft for Studio Backdrop https://www.amazon.in/gp/product/B06W53TMDR/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B06W53TMDR&linkCode=as2&tag=qhi-21 10. J 228 Mini Tripod Mount + Action Camera Holder Clip Desktop Self-Tripod For Camera https://www.amazon.in/gp/product/B072JXX9DB/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B072JXX9DB&linkCode=as2&tag=qhi-21 11. Seagate Backup Plus Slim 1TB Portable External Hard Drive https://www.amazon.in/gp/product/B00GASLJK6/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B00GASLJK6&linkCode=as2&tag=qhi-21 Watch other Videos from ‘Quality HUB India’ 1. Process Capability Study (Cp,Cpk, Pp & Ppk) - https://www.youtube.com/watch?v=5hBRE0uji5w 2. What is Six Sigma ?Learn Six Sigma in 30 minutes- https://www.youtube.com/watch?v=1oiKYydbrSw 3. Failure Mode and Effects Analysis (FMEA) - https://www.youtube.com/watch?v=UxSBUHgb1V0&t=25s 4. Statistical Process Control (SPC) in Hindi – https://www.youtube.com/watch?v=WiVjjoeIrmc&t=115s 5. Measurement System Analysis (MSA) (Part 1) - https://www.youtube.com/watch?v=GGwaZeMmZS8&t=25s 6. Advanced Product Quality Planning(APQP) - https://www.youtube.com/watch?v=FaawYoPsUYE&t=35s 7. ‘Quality Circles' - https://www.youtube.com/watch?v=kRp9OIANgG8&t=25s 8. What is 'Cost of Quality' and 'Cost of Poor Quality' - https://www.youtube.com/watch?v=IsCRylbHni0&t=25s 9. How to perfectly define a problem ? 5W and 1H approach - https://www.youtube.com/watch?v=JXecodDxBfs&t=55s 10. What is 'Lean Six Sigma' ? Learn the methodology with benefits. - https://www.youtube.com/watch?v=86XJqf1IhQM&t=41s 11. What is KAIZEN ? 7 deadly Waste (MUDA) and benefit of KAIZEN - https://www.youtube.com/watch?v=TEcE-cKk1qI&t=115s 12. What is '5S' Methodology? (Hindi)- https://www.youtube.com/watch?v=dW8faNOX91M&t=25s 13. 7 Quality Control Tools - (Part 1) Hindi - https://www.youtube.com/watch?v=bQ9t3zoM0NQ&t=88s 14. "KAIZEN" in HINDI- https://www.youtube.com/watch?v=xJpbHTc3wmo&t=25s 15. 'PDCA' or 'Deming Cycle'. Plan-DO-Check-Act cycle - https://www.youtube.com/watch?v=Kf-ax6qIPVc 16. Overall Equipment Effectiveness (OEE) - https://www.youtube.com/watch?v=5OM5-3WVtd0&feature=youtu.be 17. Why-Why Analysis? - Root Cause Analysis Tool - https://www.youtube.com/watch?v=Uxn6N6OJvwA
Views: 165603 Quality HUB India
Advanced Data Mining with Weka (2.4: MOA classifiers and streams)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 2 - Lesson 4: MOA classifiers and streams http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/4vZhuc https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 2759 WekaMOOC
C2090-013  IBM SPSS Modeler Data Mining for Business Partners v2 Latest exam dumps
 
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Please visit at www.brainitworks.com or email us at [email protected] • Complete set of 50 to 350 total numbers of Questions & Answers Set along with accurate explanation. PPT in PDF format will be given, which may be get printed to test your knowledge before going for the real exam. • Questions & Answers set shall be given for practice similar like, which you will getting in real time examination. • IBM recommends combining education courses and hands-on experience to prepare for your certification exam as questions will test your ability to apply the knowledge you have gained in training. • Three Resume samples will be given for fresher, Mid-experience & Advance level Experience IBM aspirants. • 60 Days Free Updates • 10 years in the business, more than 414952 of happy customers. • Amazing 99.6% exam pass rate. Join our success! Awesome rate of Success. Trust us for best results, at the best price. IT Certifications made easy with Accurate & Update Questions. Expand your Qualification with our Self-Paced User-Friendly Exam. Prepare your certification exams with Certification Questions & Answers verified by experienced professionals! We make your certification journey easier as we provide you with learning materials to help you to pass your exams from the first try. Professionally researched by Certified Trainers, our preparation materials contribute to industry's highest 99.6% pass rate among our customers. Just like all our exams.
Views: 0 Andrea Jones
Applications of Linear Algebra Part 1 | DavidsonX on edX | Course About Video
 
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Applications of Linear Algebra Part 1 Learn to use linear algebra in computer graphics by making images disappear in an animation or creating a mosaic or fractal and in data mining to measure similarities between movies, songs, or friends. About this Course From simulating complex phenomenon on supercomputers to storing the coordinates needed in modern 3D printing, data is a huge and growing part of our world. A major tool to manipulate and study this data is linear algebra. This course is part 1 of a 2-part course. In this part, we’ll learn basics of matrix algebra with an emphasis on application. This class has a focus on computer graphics while also containing examples in data mining. We’ll learn to make an image transparent, fade from one image to another, and rotate a 3D wireframe model. We’ll also mine data; for example, we will find similar movies that one might enjoy seeing. In the topic of sports ranking, we’ll be ready to participate in March Madness and submit our own mathematically generated brackets to compete against millions of others. The lectures are developed to encourage you to explore and create your own ideas either through your own programming but also with online tools developed for the course. Come to this course ready to investigate your own ideas. Enroll in Applications of Linear Algebra Part 1 from DavidsonX at https://www.edx.org/course/applications-linear-davidsonx-d003x-1
Views: 13945 edX
Mod-01 Lec-04 Clustering vs. Classification
 
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Pattern Recognition by Prof. C.A. Murthy & Prof. Sukhendu Das,Department of Computer Science and Engineering,IIT Madras.For more details on NPTEL visit http://nptel.ac.in
Views: 19676 nptelhrd
Ihaka Lecture Series 2017: Statistical computing in a (more) static environment
 
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Ross Ihaka Associate Professor, Department of Statistics, University of Auckland Statistics has become essential in the data age. We have increasing ability to collect vast quantities of data, but often still struggle to make sense of it. The Ihaka lectures aim to highlight the important role that both statistics and computing play in this endeavour.
Crypto dreams: Good entry for Reddcoin (RDD) at 0.15 cents (USD 0.0015) coming soon
 
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Dear brethren, here is a video discussing cryptocurrencies, particularly Reddcoin (RDD) and Electroneum (ETN): https://coinmarketcap.com/currencies/reddcoin/ https://coinmarketcap.com/currencies/electroneum/ You can check under “Markets” in the above links to see which exchanges these coins are available on. Here is my ETN buying guide I posted on my original ETN video: http://www.mediafire.com/file/ilr23ld01x2ra35/) Confirmation on ETN dreams: https://z3news.com/w/electroneum-bringing-1000-fold-return/ Confirmation on RDD dreams (others dreamed of RDD before I did): https://z3news.com/w/reddcoin-moving-up-fast/ https://z3news.com/w/watching-super-fast-forwarding-movie/ https://z3news.com/w/tenth-witness-confirms-reddcoin-moving/ My main two coins are RDD and ETN. I am focusing on RDD then planning to move mostly into ETN. It has been 11 months since my first ETN dream video. That isn't a very long time, so when I say long term I think it won't take that long, but I don't know. I believe RDD will spike higher first, but ETN will have stronger longer term potential. ETN is my main coin but focusing more on RDD at the moment. I have seen other prices for BTC, LTC, XLM, PPT. See the other two crypto vids I mentioned for updated dreams linked here posted in the pinned comment section and on Z3News: https://www.youtube.com/watch?v=c_oncLpYfSA&t=15s and https://www.youtube.com/watch?v=QoULUJF3mS8&t=27s May God bless you. Christopher. Email: [email protected].com Website: www.survivetheearthchanges.com
Views: 1444 JESUSisLORD
Data Wrangling, Normalization & Preprocessing: Part I Signals
 
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Dr. Joseph Picone from Temple University presents a lecture on "Data Wrangling, Normalization & Preprocessing: Part I Signals" Lecture Abstract Data wrangling is defined as the process of mapping data from an unstructured format to another format that enables automated processing. State of the art deep learning systems require vast amounts of annotated data to achieve high performance, and hence, this is often referred to as a Big Data problem. Many decision support systems in healthcare can be successfully automated if such big data resources existed. Therefore, automated data wrangling is crucial to the application of deep learning to healthcare. In this talk, we will discuss data wrangling challenges for physiological signals commonly found in healthcare, such as electroencephalography (EEG) signals. For signal and image data to be useful in the development of machine learning systems, identification and localization of events in time and/or space plays an important role. Normalization of data with respect to annotation standards, recording environments, equipment manufacturers and even standards for clinical practice, must be accomplished for technology to be clinically relevant. We will specifically discuss our experiences in the development of a large clinical corpus of EEG data, the annotation of key events for which there is low inter-rater agreement (such as seizures), and the development of technology that can mitigate the variability found in such clinical data resources. In a companion talk to be given on December 2, data wrangling of unstructured text, such as that found in electronic medical records, will be discussed. View slides from this lecture https://drive.google.com/open?id=0B4IAKVDZz_JUekljOVVRa3RaNmc About the speaker Joseph Picone is currently a professor in the Department of Electrical and Computer Engineering at Temple University. He received his Ph.D. in Electrical Engineering in 1983 from the Illinois Institute of Technology. His primary research interests are machine learning approaches to acoustic modeling in speech recognition. Recently, he has been focusing on the commercialization of technology to automatically interpret EEGs. He has spent significant portions of his career in academia, research and the government, giving him a very balanced perspective on management of R&D. Dr. Picone is a Senior Member of the IEEE and has been active in several professional societies related to human language technology. He has authored numerous papers on the subject and holds several patents in this field. See www.isip.piconepress.com and www.nedcdata.org to learn more about his research and teaching. Joseph Picone is a co-PI on an NIH BD2K grant titled “Automatic discovery and processing of EEG cohorts from clinical records” which is a collaboration between Temple University and the University of Texas at Dallas. Please join our weekly meetings from your computer, tablet or smartphone. Visit our website to learn how to join! http://www.bigdatau.org/data-science-seminars
Advanced Data Mining with Weka (2.5: Classifying tweets)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 2 - Lesson 5: Classifying tweets http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/4vZhuc https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 3501 WekaMOOC
Working with Time Series Data in MATLAB
 
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See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK1 Download a trial: https://goo.gl/PSa78r A key challenge with the growing volume of measured data in the energy sector is the preparation of the data for analysis. This challenge comes from data being stored in multiple locations, in multiple formats, and with multiple sampling rates. This presentation considers the collection of time-series data sets from multiple sources including Excel files, SQL databases, and data historians. Techniques for preprocessing the data sets are shown, including synchronizing the data sets to a common time reference, assessing data quality, and dealing with bad data. We then show how subsets of the data can be extracted to simplify further analysis. About the Presenter: Abhaya is an Application Engineer at MathWorks Australia where he applies methods from the fields of mathematical and physical modelling, optimisation, signal processing, statistics and data analysis across a range of industries. Abhaya holds a Ph.D. and a B.E. (Software Engineering) both from the University of Sydney, Australia. In his research he focused on array signal processing for audio and acoustics and he designed, developed and built a dual concentric spherical microphone array for broadband sound field recording and beam forming.
Views: 41135 MATLAB
Marco Bonzanini - Building Data Pipelines in Python
 
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PyData London 2016 This talk discusses the process of building data pipelines, e.g. extraction, cleaning, integration, pre-processing of data, in general all the steps that are necessary to prepare your data for your data-driven product. In particular, the focus is on data plumbing and on the practice of going from prototype to production. This talk discusses the process of building data pipelines, e.g. extraction, cleaning, integration, pre-processing of data, in general all the steps that are necessary to prepare your data for your data-driven product. In particular, the focus is on data plumbing and on the practice of going from prototype to production. Starting from some common anti-patterns, we'll highlight the need for a workflow manager for any non-trivial project. We'll discuss the case for Luigi as an interesting option to consider, and we'll consider where it fits in the bigger picture of deploying a data product. Slides available here: https://speakerdeck.com/marcobonzanini/building-data-pipelines-in-python-pydata-london-2016
Views: 2602 PyData
First Steps in Data Mining Kindergarten (Alexey Zinoviev, Omsk, 2014)
 
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Alexey Zinoviev presented this paper on Second Thumbtack Technology Expert Day. This paper covers next topics: Data Mining, Machine Learning, Octave, R language Slides: http://www.slideshare.net/zaleslaw/first-steps-in-data-mining-kindergarten
Views: 164 Alexey Zinoviev
Profit and Loss Account and The Balance Sheet -Introduction
 
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To support you can donate via PAYTM by following this link http://p-y.tm/PdIMBe8d7 OR via upi at [email protected] A brief discussion on Profit and Loss Account with Balance Sheet in Hindi. Thanks for watching my videos. Support, Share and Subscribe! Gear I use: For writing on screen: http://amzn.to/2wSA955 Microphone : http://amzn.to/2w8ktKk Laptop: http://amzn.to/2wJo8jd Link for my facebook page: https://facebook.com/thecommercetutor Website: http://www.thecommercetutor.com Links of my other videos: Final Accounts: The Trading Account {Hindi} https://youtu.be/S903iuef5DQ An Introduction to Final Accounts {Hindi} https://youtu.be/-fg5bo3_zMA Capital and Revenue Receipts AND Deffered Rev. Exp.- Concepts explained in Hindi - https://youtu.be/xB9_0AVWJr8 CAPITAL AND REVENUE- MOST IMPORTANT CONCEPT IN ACCOUNTING - PART 1 [HINDI] - https://youtu.be/3PI6nAqQ0LA Problem on Trial Balance in Hindi - https://youtu.be/nvCjDZFDXpU Trial Balance - Errors disclosed and not disclosed https://youtu.be/NKXY20poRf8 TRIAL BALANCE - CONCEPT, FEATURES, ADVANTAGES AND FORMAT [HINDI] https://youtu.be/UubgH-6zFB0 SIMPLE PETTY CASH BOOK [SINGLE COLUMN] - WITH SMALL PROBLEM IN HINDI https://youtu.be/g-QYKxVZ8M4 PETTY CASH BOOK - CONCEPT AND TYPES [HINDI] https://youtu.be/PClOM8--FOI PROBLEM ON TRIPLE COLUMN CASH BOOK https://youtu.be/rodiyF2QN00 TRIPLE COLUMN CASH BOOK - CONCEPT WITH ILLUSTRATION [HINDI] https://www.youtube.com/watch?v=Bv8aFPpuPuI PROBLEM ON DOUBLE COLUMN CASH BOOK [HINDI] https://www.youtube.com/watch?v=1Y7HGnJQmZs DOUBLE COLUMN CASH BOOK- CONCEPTS INCLUDING CONTRA ENTRY [HINDI] https://www.youtube.com/watch?v=PsfFfitxzLY CASH BOOK- PART 2: SINGLE COLUMN CASH BOOK WITH SMALL PROBLEM https://www.youtube.com/watch?v=8MSj102t-C4 CASH BOOK- PART 1: CONCEPT, FEATURES, ADVANTAGES & TYPES https://www.youtube.com/watch?v=1LXrblt1iqw
Views: 299993 The Commerce Tutor

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