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Data Mining: How You're Revealing More Than You Think
 
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Data mining recently made big news with the Cambridge Analytica scandal, but it is not just for ads and politics. It can help doctors spot fatal infections and it can even predict massacres in the Congo. Hosted by: Stefan Chin Head to https://scishowfinds.com/ for hand selected artifacts of the universe! ---------- Support SciShow by becoming a patron on Patreon: https://www.patreon.com/scishow ---------- Dooblydoo thanks go to the following Patreon supporters: Lazarus G, Sam Lutfi, Nicholas Smith, D.A. Noe, سلطان الخليفي, Piya Shedden, KatieMarie Magnone, Scott Satovsky Jr, Charles Southerland, Patrick D. Ashmore, Tim Curwick, charles george, Kevin Bealer, Chris Peters ---------- Looking for SciShow elsewhere on the internet? Facebook: http://www.facebook.com/scishow Twitter: http://www.twitter.com/scishow Tumblr: http://scishow.tumblr.com Instagram: http://instagram.com/thescishow ---------- Sources: https://www.aaai.org/ojs/index.php/aimagazine/article/viewArticle/1230 https://www.theregister.co.uk/2006/08/15/beer_diapers/ https://www.theatlantic.com/technology/archive/2012/04/everything-you-wanted-to-know-about-data-mining-but-were-afraid-to-ask/255388/ https://www.economist.com/node/15557465 https://blogs.scientificamerican.com/guest-blog/9-bizarre-and-surprising-insights-from-data-science/ https://qz.com/584287/data-scientists-keep-forgetting-the-one-rule-every-researcher-should-know-by-heart/ https://www.amazon.com/Predictive-Analytics-Power-Predict-Click/dp/1118356853 http://dml.cs.byu.edu/~cgc/docs/mldm_tools/Reading/DMSuccessStories.html http://content.time.com/time/magazine/article/0,9171,2058205,00.html https://www.nytimes.com/2012/02/19/magazine/shopping-habits.html?pagewanted=all&_r=0 https://www2.deloitte.com/content/dam/Deloitte/de/Documents/deloitte-analytics/Deloitte_Predictive-Maintenance_PositionPaper.pdf https://www.cs.helsinki.fi/u/htoivone/pubs/advances.pdf http://cecs.louisville.edu/datamining/PDF/0471228524.pdf https://bits.blogs.nytimes.com/2012/03/28/bizarre-insights-from-big-data https://scholar.harvard.edu/files/todd_rogers/files/political_campaigns_and_big_data_0.pdf https://insights.spotify.com/us/2015/09/30/50-strangest-genre-names/ https://www.theguardian.com/news/2005/jan/12/food.foodanddrink1 https://adexchanger.com/data-exchanges/real-world-data-science-how-ebay-and-placed-put-theory-into-practice/ https://www.theverge.com/2015/9/30/9416579/spotify-discover-weekly-online-music-curation-interview http://blog.galvanize.com/spotify-discover-weekly-data-science/ Audio Source: https://freesound.org/people/makosan/sounds/135191/ Image Source: https://commons.wikimedia.org/wiki/File:Swiss_average.png
Views: 151833 SciShow
How data mining works
 
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In this video we describe data mining, in the context of knowledge discovery in databases. More videos on classification algorithms can be found at https://www.youtube.com/playlist?list=PLXMKI02h3_qjYoX-f8uKrcGqYmaqdAtq5 Please subscribe to my channel, and share this video with your peers!
Views: 238342 Thales Sehn Körting
Data Mining (Introduction for Business Students)
 
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This short revision video introduces the concept of data mining. Data mining is the process of analysing data from different perspectives and summarising it into useful information, including discovery of previously unknown interesting patterns, unusual records or dependencies. There are many potential business benefits from effective data mining, including: Identifying previously unseen relationships between business data sets Better predicting future trends & behaviours Extract commercial (e.g. performance insights) from big data sets Generating actionable strategies built on data insights (e.g. positioning and targeting for market segments) Data mining is a particularly powerful series of techniques to support marketing competitiveness. Examples include: Sales forecasting: analysing when customers bought to predict when they will buy again Database marketing: examining customer purchasing patterns and looking at the demographics and psychographics of customers to build predictive profiles Market segmentation: a classic use of data mining, using data to break down a market into meaningful segments like age, income, occupation or gender E-commerce basket analysis: using mined data to predict future customer behavior by past performance, including purchases and preferences
Views: 5710 tutor2u
Data Mining using R | Data Mining Tutorial for Beginners | R Tutorial for Beginners | Edureka
 
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( R Training : https://www.edureka.co/r-for-analytics ) This Edureka R tutorial on "Data Mining using R" will help you understand the core concepts of Data Mining comprehensively. This tutorial will also comprise of a case study using R, where you'll apply data mining operations on a real life data-set and extract information from it. Following are the topics which will be covered in the session: 1. Why Data Mining? 2. What is Data Mining 3. Knowledge Discovery in Database 4. Data Mining Tasks 5. Programming Languages for Data Mining 6. Case study using R Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #LogisticRegression #Datasciencetutorial #Datasciencecourse #datascience How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Website: https://www.edureka.co/data-science Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. " Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 78229 edureka!
Data Science for Business: Data Mining Process and CRISP DM
 
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This lesson provides an introduction to the data mining process with a focus on CRISP-DM. This video was created by Cognitir (formerly Import Classes). Cognitir is a global company that provides live training courses to business & finance professionals globally to help them acquire in-demand tech skills. For additional free resources and information about training courses, please visit: www.cognitir.com
Views: 16153 Cognitir
Data-mining: the new gold mine
 
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Companies are getting more sophisticated on how they monitor customer movements and buying habits. Is it possible to maintain privacy in an increasingly public world?
Views: 1104 CGTN Global Business
Data Mining Company Cogneesol
 
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A video by Cogneesol (a business outsourcing data mining Company) that shows what benefits you can gain for your business by hiring an outsourcing partner. And how an outsourcing partner supports you to identify the suspected facts from your existing business data.
Views: 45 Cogneesol
Welcome to Business Analytics Using Data Mining (BADM)
 
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This video was created by Professor Galit Shmueli and has been used as part of blended and online courses on Business Analytics using Data Mining. It is part of a series of 37 videos, all of which are available on YouTube. From more information: www.dataminingbook.com twitter.com/gshmueli facebook.com/dataminingbook Here is the complete list of the videos: • Welcome to Business Analytics Using Data Mining (BADM) • BADM 1.1: Data Mining Applications • BADM 1.2: Data Mining in a Nutshell • BADM 1.3: The Holdout Set • BADM 2.1: Data Visualization • BADM 2.2: Data Preparation • BADM 3.1: PCA Part 1 • BADM 3.2: PCA Part 2 • BADM 3.3: Dimension Reduction Approaches • BADM 4.1: Linear Regression for Descriptive Modeling Part 1 • BADM 4.2 Linear Regression for Descriptive Modeling Part 2 • BADM 4.3 Linear Regression for Prediction Part 1 • BADM 4.4 Linear Regression for Prediction Part 2 • BADM 5.1 Clustering Examples • BADM 5.2 Hierarchical Clustering Part 1 • BADM 5.3 Hierarchical Clustering Part 2 • BADM 5.4 K-Means Clustering • BADM 6.1 Classification Goals • BADM 6.2 Classification Performance Part 1: The Naive Rule • BADM 6.3 Classification Performance Part 2 • BADM 6.4 Classification Performance Part 3 • BADM 7.1 K-Nearest Neighbors • BADM 7.2 Naive Bayes • BADM 8.1 Classification and Regression Trees Part 1 • BADM 8.2 Classification and Regression Trees Part 2 • BADM 8.3 Classification and Regression Trees Part 3 • BADM 9.1 Logistic Regression for Profiling • BADM 9.2 Logistic Regression for Classification • BADM 10 Multi-Class Classification • BADM 11 Ensembles • BADM 12.1 Association Rules Part 1 • BADM 12.2 Association Rules Part 2 • Neural Networks: Part I • Neural Nets: Part II • Discriminant Analysis (Part 1) • Discriminant Analysis: Statistical Distance (Part 2) • Discriminant Analysis: Misclassification costs and over-sampling (Part 3)
Views: 3453 Galit Shmueli
Introduction to Data Mining: Data Aggregation
 
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In this Data Mining Fundamentals tutorial, we discuss our first data cleaning strategy, data aggregation. Aggregation is combining two or more attributes (or objects) into a single attribute (or object). -- Learn more about Data Science Dojo here: https://hubs.ly/H0hCnj10 Watch the latest video tutorials here: https://hubs.ly/H0hCnHV0 See what our past attendees are saying here: https://hubs.ly/H0hCnj40 -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 4000+ employees from over 830 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Like Us: https://www.facebook.com/datasciencedojo Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/datasciencedojo Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_science_dojo Vimeo: https://vimeo.com/datasciencedojo
Views: 11215 Data Science Dojo
icCube for Retail company (Advanced Analytics & Data Mining capabilities)
 
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Retail Technology Fair EuroCIS 2015
Views: 118 icCube
Top 5 Algorithms used in Data Science | Data Science Tutorial | Data Mining Tutorial | Edureka
 
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( Data Science Training - https://www.edureka.co/data-science ) This tutorial will give you an overview of the most common algorithms that are used in Data Science. Here, you will learn what activities Data Scientists do and you will learn how they use algorithms like Decision Tree, Random Forest, Association Rule Mining, Linear Regression and K-Means Clustering. To learn more about Data Science click here: http://goo.gl/9HsPlv The topics related to 'R', Machine learning and Hadoop and various other algorithms have been extensively covered in our course “Data Science”. For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 107324 edureka!
Data Mining Service for Real Time Company
 
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Looking at the tedious and strenuous activities involved in data mining service India, a professional data mining service provider can provide effective alternatives for your business. Depending on your respective business specifications, the leading data mining companies have a dedicated team of qualified analysts to serve your purpose. You can rely on their services in terms of stability, precision, and high quality above doubts. For more info visit at https://www.dataplusvalue.com/data-mining-services-india.html
Views: 5 DataPlusValue
data mining technology
 
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Views: 684 jojo20
Data Mining Services  - Company
 
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www.datatudetechnologies.com - We provide data mining, eBay templates, web scraping, data extraction, web automation, Amazon automation, eBay automation services to our clients around the globe.
Views: 24 Iyna Hynes
Data Mining Techniques to Prevent Credit Card Fraud
 
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Includes a brief introduction to credit card fraud, types of credit card fraud, how fraud is detected, applicable data mining techniques, as well as drawbacks.
Views: 13808 Ben Rodick
Bridging the Gap Between Data Mining and Machine Learning
 
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Jing Wang, Senior Vice President of Engineering at Baidu, answers a question about the company's challenge of not having the ability to process all of the data that it collects. Wang believes that much of this gap can be closed as advances in machine learning are made. Wang spoke on the panel "'Made in China' Innovation" at the China 2.0 Forum in Beijing hosted by Stanford Graduate School of Business on April 11, 2014. The panel was moderated by Marguerite Gong Hancock of Stanford Graduate School of Business and also featured Hurst Lin, General Partner at DCM China. Learn more about the 2014 China 2.0 Forum: http://sprie.gsb.stanford.edu/docs/2014_china20_forum. China 2.0 is an initiative of the Stanford Graduate School of Business focusing on innovation and entrepreneurship in China. Learn more: http://gsb.stanford.edu/China2.0
Introduction to Data Analysis and Mining: what is it?
 
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Here I give an introduction to the course of data exploration (data analysis) and data mining. I also show an example dataset My web page: www.imperial.ac.uk/people/n.sadawi
Views: 68280 Noureddin Sadawi
Politics in the Age of Data Mining
 
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Recent revelations that a data-mining company (Cambridge Analytica) had accessed the personal information of millions of Facebook users in order to create targeted political ads for the Trump presidential campaign resulted in outrage, calls for regulation, and a tumble for Facebook stock prices. Jesse Hirsh (Metaviews) and Sara Bannerman (McMaster University) join Steve Paikin to discuss the potential threat that data mining poses for the Canadian electoral process.
Government Data Mining: Impossible to Escape?
 
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June 7 (Bloomberg) -- Bloomberg West Editor-At-Large Cory Johnson looks at the list of companies linked to the collection of data by the United States government, including Apple, Google, Facebook, Yahoo, Microsoft, Skype, and YouTube. He speaks on Bloomberg Television's "Market Makers." -- Subscribe to Bloomberg on YouTube: http://www.youtube.com/Bloomberg "Market Makers" brings you analysis, insight and A-list guests who influencing Wall Street and the global economy. The business news show is hosted by Erik Schatzker and Stephanie Ruhle and covers the biggest companies in finance and the leaders who run them. Companies of discussion range from bulge-bracket banks: Goldman Sachs, JPMorgan, Morgan Stanley, UBS, Credit Suisse and Bank of America to mid-size and boutique firms such as Jefferies, Piper Jaffray, Cowen and more. Whether the day's stories cover "too big to fail" Wall Street banks, billion dollar deals, the latest insider trading scheme, or the Street's reaction to Dodd-Frank, "Market Makers" taps leading analysis and A-list guests to shed light on global finance. Broadcasting live from Bloomberg's headquarters in New York, "Market Makers" breaks news and brings viewers exclusives with the likes of Goldman Sachs' CEO Lloyd Blankfein, Goldman Sachs COO Gary Cohn, Morgan Stanley CEO James Gorman, financier Ken Langone, billionaire investor Carl Icahn, hedge fund legends David Tepper and David Einhorn, pay czar Kenneth Feinberg, Credit Suisse CEO Brady Dougan and many, many more. The show airs daily at 10am ET/7am PT. For a complete compilation of Market Makers videos, visit: http://www.bloomberg.com/video/market-makers/ Watch "Market Makers" on TV, on the Bloomberg smartphone app, on the Bloomberg TV + iPad app or on the web: http://bloomberg.com/tv Bloomberg Television offers extensive coverage and analysis of international business news and stories of global importance. It is available in more than 310 million households worldwide and reaches the most affluent and influential viewers in terms of household income, asset value and education levels. With production hubs in London, New York and Hong Kong, the network provides 24-hour continuous coverage of the people, companies and ideas that move the markets.
Views: 1253 Bloomberg
Introduction to Data Mining: Basic Vocabulary
 
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All great learning opportunities are built on a solid foundation. This data mining fundamentals series is jam-packed with all the background information, technical terminology, and basic knowledge that you will need to hit the ground running. In part 1 of this data mining video series, we cover what data is and the basic vocabulary associated with it. Topics: – Data and Data Types – Data Quality – Data Preprocessing – Similarity and Dissimilarity – Data Exploration and Visualization -- Learn more about Data Science Dojo here: https://hubs.ly/H0hClSz0 Watch the latest video tutorials here: https://hubs.ly/H0hClT20 See what our past attendees are saying here: https://hubs.ly/H0hClrG0 -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 4000+ employees from over 830 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Like Us: https://www.facebook.com/datasciencedojo Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/datasciencedojo Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_science_dojo Vimeo: https://vimeo.com/datasciencedojo
Views: 36646 Data Science Dojo
Vehicle Data Mining:  The Case for Data Analytics
 
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Transportation companies and companies operating vehicle fleets have access to an abundance of data related to their vehicles. Is your organization using this data effectively? For more information visit http://www.bkd.com.
Views: 226 BKD CPAs & Advisors
Driving Business Analytics with Data Mining and Machine Learning
 
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Big Data is disrupting enterprises, and Hadoop is helping companies turn this challenge into opportunity. Explore different techniques that allow you to gain insight into your growing data and turn it into actionable decision making. Join us for an overview of how Big Data and Analytics work together, as well as the concepts of Machine Learning with Mahout. We will cover principles needed to drill down into your data through Data Mining, focusing on various techniques such as: Grouping / Clustering; Recommendation Systems; Prediction Modeling. Learn what these techniques are and how they can help you generate value for your organization. www.metascale.com #metascale
Views: 1304 MetaScale
IOM 528 - Data Warehousing Business Intelligence, and Data Mining - Professor Arif Ansari
 
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Professor Arif Ansari This course helps to build Business Analytics skill set required by companies. At least sixty percent of the class time is spent on data mining which is especially useful to companies, because it allows you to understand customers to a level not possible before. This course is about how companies apply two new technologies, data warehousing (DW) and data mining (DM, including business intelligence, BI) to empower their employees, and build and manage a customer-centric business model. Besides learning the strategic role DW and DM plays in an enterprise, you will also get a close-up look at DW and DM by working on cases and gaining hands-on experience using software tools. Students taking this class will get an overview of the technologies of DW and BI/DM from a managerial perspective. Finance companies have started data mining, example: Capital One Credit Card Company. Real Estate companies are now using neural networks to evaluate the price of homes.
Data Mining Company In India
 
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http://www.labdhie.com/ - Labdhie Support Services is the go-to company for all your data mining or research needs. Watch the demo. Be it internet research, data collection, real estate MLS, linkedin research or even blog search, we do it all.
Views: 522 Labdhie
Applications of Predictive Analytics in Legal | Litigation Analytics, Data Mining & AI | Great Lakes
 
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#PredictiveAnalytics | Learn the prediction of outcome or treatment of a case by legal courts of Appeals based on historical data using predictive analytics. Watch the video to understand analytics in legal using case study on real-life data set. How litigation analytics can flourish with the use of data mining and AI. Know more about our analytics Program: PGP- Business Analytics: https://goo.gl/V9RzVD PGP- Big Data Analytics: https://goo.gl/rRyjj4 Business Analytics Certification Program: https://goo.gl/7HPoUY #LegalTech #LegalAnalytics #GreatLearning #GreatLakes About Great Learning: - Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more. - Watch the video to know ''Why is there so much hype around 'Artificial Intelligence'?'' https://www.youtube.com/watch?v=VcxpBYAAnGM - What is Machine Learning & its Applications? https://www.youtube.com/watch?v=NsoHx0AJs-U - Do you know what the three pillars of Data Science? Here explaining all about the pillars of Data Science: https://www.youtube.com/watch?v=xtI2Qa4v670 - Want to know more about the careers in Data Science & Engineering? Watch this video: https://www.youtube.com/watch?v=0Ue_plL55jU - For more interesting tutorials, don't forget to Subscribe our channel: https://www.youtube.com/user/beaconelearning?sub_confirmation=1 - Learn More at: https://www.greatlearning.in/ For more updates on courses and tips follow us on: - Google Plus: https://plus.google.com/u/0/108438615307549697541 - Facebook: https://www.facebook.com/GreatLearningOfficial/ - LinkedIn: https://www.linkedin.com/company/great-learning/ - Follow our Blog: https://www.greatlearning.in/blog/?utm_source=Youtube Great Learning has collaborated with the University of Texas at Austin for the PG Program in Artificial Intelligence and Machine Learning and with UT Austin McCombs School of Business for the PG Program in Analytics and Business Intelligence.
Views: 1108 Great Learning
Data Mining and Business Analytics
 
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@LiquidHub a Capgemini company
Views: 44 raju boine
How Big Data Can Influence Decisions That Actually Matter | Prukalpa Sankar | TEDxGateway
 
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Its crazy how big data is used to solve some kinds of problems and not others. Prukalpa Sankar reimagines a world where we can catch criminals at the scene of the crime – not years later, reroute cars in real time to prevent traffic congestion that we all hate so much, predict if a child is going to drop out of school before they even knows it and eradicate a disease as it breaks, not 1000s of deaths later. Prukalpa is the co-founder of SocialCops, a data intelligence company. Their platform brings the entire decision-making process to one place — from collecting primary data and accessing secondary data to merging internal data and visualizing data via easy-to-use dashboards. They work with over 150 organizations in 7+ countries, including the Gates Foundation, Tata Trusts, Government of India, Unilever, and Frost & Sullivan. SocialCops was on the 2016 Forbes Asia 30 Under 30 and Fortune India 40 Under 40 lists. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Views: 182936 TEDx Talks
Eminenture Data Mining Company The Emerging Leader
 
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Data mining determines the process of extracting data from its huge volume. Web scraping helps in collecting data. Thereby, database is created using internal sources, patterns and algorithms. Cleansing, integrating, validating and transformation manage it. Its quality is evaluated at the end to make it comprehensive.
Views: 36 Eminenture India
Data Science for Business: Statistics for Data Mining - Part 1
 
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You will learn about statistics in general and then specifically about descriptive statistics and how it can used to solve business problems. This is the first part of a 3-part video series. Part 2 can be found: https://www.youtube.com/watch?v=J9L0gWDO4lM This video was created by Cognitir (formerly Import Classes). Cognitir is a global company that provides live training courses to business & finance professionals globally to help them acquire in-demand tech skills. For additional free resources and information about training courses, please visit: www.cognitir.com
Views: 391 Cognitir
Text Mining In R | Natural Language Processing | Data Science Certification Training | Edureka
 
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** Data Science Certification using R: https://www.edureka.co/data-science ** In this video on Text Mining In R, we’ll be focusing on the various methodologies used in text mining in order to retrieve useful information from data. The following topics are covered in this session: (01:18) Need for Text Mining (03:56) What Is Text Mining? (05:42) What is NLP? (07:00) Applications of NLP (08:33) Terminologies in NLP (14:09) Demo Blog Series: http://bit.ly/data-science-blogs Data Science Training Playlist: http://bit.ly/data-science-playlist - - - - - - - - - - - - - - - - - Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka - - - - - - - - - - - - - - - - - #textmining #textminingwithr #naturallanguageprocessing #datascience #datasciencetutorial #datasciencewithr #datasciencecourse #datascienceforbeginners #datasciencetraining #datasciencetutorial - - - - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data lifecycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modeling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyze Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyze data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies. For online Data Science training, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.
Views: 5331 edureka!
Cloudera Data Scientist course: data mining, machine learning and big data
 
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More information: https://www.pue.es/cursos/curso-cloudera-data-scientist Due to the technological changes produced in recent years, professions of great value for companies have emerged. One of them is the Data Scientist focused on data structuring and Big Data. It is a professional with expert knowledge in mathematics, programming and statistics, since they work in complex data processes. This makes it one of the professions most demanded by companies today. However, a professional data scientist does not only have these capabilities. It also has other skills such as the critical capacity over large amounts of information and the ability to provide results to different problems extracted from the analysis of the data. In other words, a data scientist is capable of making personalized recommendations according to the statistical objectives that a certain company wants to achieve. In addition, he is responsible for marketing segmentations and optimizing processes that facilitate the day-to-day activities of an organization. To perform its function perfectly, a data scientist must know how to handle specific software and specific technologies such as Spark and Hadoop. All this combination of tasks and skills demonstrate the complete and comprehensive profile needed to become a high performance data scientist. On the other hand, the science of data goes in parallel to data mining, since it forms a large part of the work of the data scientist. Data mining is concerned with extracting useful and valuable information from where it is not believed to be. And to achieve this we must follow a process similar to the one we develop next: information gathering, preprocessing, model training, testing, visualization and interpretation of the results. The training stage of the model is also called Machine Learning. Right here begins the extraction of results thanks to the advanced algorithms of machine learning (or machine learning). They are able to forecast and organize new information by being trained with previous information. Each of these concepts and technologies will be part of the work of the Data Scientist who will be in charge of manipulating specific tools and managing the entire process involved in data science. In this way you will be prepared to give answers regarding the previously compiled algorithms. Everything detailed shows the great value that the data scientist has in the company and the transcendental role it plays in its structure. But, how to become an expert in data science? What study to acquire the skills and knowledge of a data scientist? PUE, Cloudera's EMEA Best Partner, offers an official data scientist course with which to become a big data professional and get skills in mathematics, statistics, programming and data extraction and analysis. Discover what we are doing in our social networks: Facebook: https://www.facebook.com/ticpue Twitter: https://twitter.com/ticpue Linkedin: https://www.linkedin.com/company/tic-pue/ YouTube: https://www.youtube.com/channel/UClY_-E5XsAKYAY6ch373mQA
Views: 35 PUE
TBP Radio Show | Should your company be Data Mining?
 
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Do you want to know more about the current state of marketing and how you can do business? Then tune into The Business Pros Radio Show on AM640, 9am Sunday mornings. Hosted by one of North America’s leading digital marketing minds Paul Tobey, you’ll learn a great deal about how to grow a thriving business. This week the discussion is about the idea of Data Mining. Firstly, what the heck is it? and Secondly, whether your company should be doing it? https://streetsmartmarketer.com/ www.twitter.com/paultobey
Data Mining | Tutorial for Beginners [Part 3] | Storage Systems | Great Learning
 
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#DataMining | What is Data Mining? What are the applications of Data Mining? In this course, you will learn the basic concepts and fundamentals of Data Mining and more. About the Speaker: Raghu Raman A V Raghu is a Big Data and AWS expert with over a decade of training and consulting experience in AWS, Apache Hadoop Ecosystem including Apache Spark. He has worked with global customers like IBM, Capgemini, HCL, Wipro to name a few as well as Bay Area startups in the US. #BigData #DataMining #GreatLakes #GreatLearning About Great Learning: - Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more. - Watch the video to know ''Why is there so much hype around 'Artificial Intelligence'?'' https://www.youtube.com/watch?v=VcxpBYAAnGM - What is Machine Learning & its Applications? https://www.youtube.com/watch?v=NsoHx0AJs-U - Do you know what the three pillars of Data Science? Here explaining all about the pillars of Data Science: https://www.youtube.com/watch?v=xtI2Qa4v670 - Want to know more about the careers in Data Science & Engineering? Watch this video: https://www.youtube.com/watch?v=0Ue_plL55jU - For more interesting tutorials, don't forget to Subscribe our channel: https://www.youtube.com/user/beaconelearning?sub_confirmation=1 - Learn More at: https://www.greatlearning.in/ For more updates on courses and tips follow us on: - Google Plus: https://plus.google.com/u/0/108438615307549697541 - Facebook: https://www.facebook.com/GreatLearningOfficial/ - LinkedIn: https://www.linkedin.com/company/great-learning/ - Follow our Blog: https://www.greatlearning.in/blog/?utm_source=Youtube Great Learning has collaborated with the University of Texas at Austin for the PG Program in Artificial Intelligence and Machine Learning and with UT Austin McCombs School of Business for the PG Program in Analytics and Business Intelligence.
Views: 257 Great Learning
Data Mining Using R: Introduction to Data Mining Techniques | Machine Learning - ExcelR
 
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ExcelR Data Mining Tutorial for Beginners 2018 - Introduction to various Data mining unsupervised techniques namely Clustering, Dimension Reduction, Association Rules, Recommender System or Collaborative filtering, Network Analytics. Things you will learn in this video 1)What is DataMining 2)DataMining in Nutshell 3)Types of methods 4)DataMining process 5)Approaches 6)Types of Clustering Algorithms To buy eLearning course on DataScience click here https://goo.gl/oMiQMw To enroll for the virtual online course click here https://goo.gl/m4MYd8 To register for classroom training click here https://goo.gl/UyU2ve SUBSCRIBE HERE for more updates: https://goo.gl/WKNNPx For Introduction to Clustering Analysis clicks here https://goo.gl/wuXN48 For Introduction to K-mean clustering click here https://goo.gl/PYqXRJ #ExcelRSolutions #DataMining#clusteringTechniques #datascience #datasciencetutorial #datascienceforbeginners #datasciencecourse ----- For More Information: Toll Free (IND) : 1800 212 2120 | +91 80080 09706 Malaysia: 60 11 3799 1378 USA: 001-844-392-3571 UK: 0044 203 514 6638 AUS: 006 128 520-3240 Email: [email protected] Web: www.excelr.com Connect with us: Facebook: https://www.facebook.com/ExcelR/ LinkedIn: https://www.linkedin.com/company/exce... Twitter: https://twitter.com/ExcelrS G+: https://plus.google.com/+ExcelRSolutions
SAS Visual Data Mining and Machine Learning
 
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http://www.sas.com/vdmml Boost analytical productivity and solve your most complex problems faster with a single, integrated in-memory environment that's both open and scalable. SAS VISUAL DATA MINING AND MACHINE LEARNING SAS Visual Data Mining and Machine Learning supports the end-to-end data mining and machine-learning process with a comprehensive, visual (and programming) interface that handles all tasks in the analytical life cycle. It suits a variety of users and there is no application switching. From data management to model development and deployment, everyone works in the same, integrated environment. http://www.sas.com/vdmml SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 5921 SAS Software
Data Mining Intern
 
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Job Description: Digi-Me, a game-changing, recruitment technology company that is using the power of video to attract and engage candidates, is looking for a talented Data Mining Intern to join our team. Responsibilities: In this role, you will assist in measuring and reporting the technical vision of our company. You will track client job videos posted on various web sites to gather data and generate reports on key metrics. If you think this job is right for you, please apply at: https://www.smartrecruiters.com/DigiMe/103894289-data-mining-intern
Views: 28 Digi-Me
Data Mining: Practical Application for a Corporation
 
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Here I explain the applications of CRISP-DM and Data Mining to the make believe company, Globalytics Week 1 Project Critiques are welcome as I'm striving to improve
Views: 47 Nicholas Coast
Data mining within to discover your true self | Tirthankar Dash | TEDxBangalore
 
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In today's world we seem more lost despite the abundance of information. Tirthankar Dash, story teller & design thinker for leading businesses around the world gives us a cheat sheet to discover the inner story in each one of us, towards living a more fulfilled life Dash is the founder of Quantum360, a design firm that takes a human-centered, design-based approach to helping organisations innovate and design for a more human future. He is also the co-founder of StoryCompany, a company that serves as a search engine to find meaning at work and in life. StoryCo. is devoted to humanizing workplaces and helping each person explore themselves, their beliefs, behavior patterns and indeed their own story to arrive at their own unique answer to a fundamental question - “What makes my life meaningful?” This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Views: 3700 TEDx Talks
Introduction to Data Mining: Document & Transaction Data
 
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In this Data Mining Fundamentals video tutorial, we discuss another useful subcategory of record data, document data. We also discuss transaction data, which is record data where each record involves a set of items. -- Learn more about Data Science Dojo here: https://hubs.ly/H0hCmrm0 Watch the latest video tutorials here: https://hubs.ly/H0hCmrF0 See what our past attendees are saying here: https://hubs.ly/H0hCm590 -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 4000+ employees from over 830 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Like Us: https://www.facebook.com/datasciencedojo Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/datasciencedojo Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_science_dojo Vimeo: https://vimeo.com/datasciencedojo
Views: 7768 Data Science Dojo
Introduction to Data Mining: Data Transformation
 
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In this Data Mining Fundamentals tutorial, we discuss the transformation of data in data preprocessing, such as attribute transformation. Attribute transformation is a function that maps the entire set of values of a given attribute to a new set of replacement values such that each old value can be identified with one of the new values. -- Learn more about Data Science Dojo here: https://hubs.ly/H0hCrZ30 Watch the latest video tutorials here: https://hubs.ly/H0hCsm90 See what our past attendees are saying here: https://hubs.ly/H0hCrZb0 -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 4000+ employees from over 830 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Like Us: https://www.facebook.com/datasciencedojo Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/datasciencedojo Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_science_dojo Vimeo: https://vimeo.com/datasciencedojo
Views: 8405 Data Science Dojo
Business Data Mining Corporate or SOHO
 
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Our database technology can identify SOHO (smal office and home office) prospects and customers in your company's files. We also can determine the core industry vertical the prospect's business is involved with. 80% of company names can be identified in one type of industry vertical or another.
Views: 60 Trinity Telco
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
 
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Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates Visit Link http://bookarea.download
Views: 32 Willypd
How Artificial Neural Network (ANN) Algorithm Work | Data Mining | Introduction to Neural Network
 
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#ArtificialNeuralNetwork | Beginners guide to how artificial neural network model works. Learn how neural network approaches the problem, why and how the process works in ANN, various ways errors can be used in creating machine learning models and ways to optimise the learning process. - Watch our new free Python for Data Science Beginners tutorial: https://greatlearningforlife.com/python - Visit https://greatlearningforlife.com our learning portal for 100s of hours of similar free high-quality tutorial videos on Python, R, Machine Learning, AI and other similar topics Know More about Great Lakes Analytics Programs: PG Program in Business Analytics (PGP-BABI): http://bit.ly/2f4ptdi PG Program in Big Data Analytics (PGP-BDA): http://bit.ly/2eT1Hgo Business Analytics Certificate Program: http://bit.ly/2wX42PD #ANN #MachineLearning #DataMining #NeuralNetwork About Great Learning: - Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more. - Watch the video to know ''Why is there so much hype around 'Artificial Intelligence'?'' https://www.youtube.com/watch?v=VcxpBYAAnGM - What is Machine Learning & its Applications? https://www.youtube.com/watch?v=NsoHx0AJs-U - Do you know what the three pillars of Data Science? Here explaining all about the pillars of Data Science: https://www.youtube.com/watch?v=xtI2Qa4v670 - Want to know more about the careers in Data Science & Engineering? Watch this video: https://www.youtube.com/watch?v=0Ue_plL55jU - For more interesting tutorials, don't forget to Subscribe our channel: https://www.youtube.com/user/beaconelearning?sub_confirmation=1 - Learn More at: https://www.greatlearning.in/ For more updates on courses and tips follow us on: - Google Plus: https://plus.google.com/u/0/108438615307549697541 - Facebook: https://www.facebook.com/GreatLearningOfficial/ - LinkedIn: https://www.linkedin.com/company/great-learning/ Great Learning has collaborated with the University of Texas at Austin for the PG Program in Artificial Intelligence and Machine Learning and with UT Austin McCombs School of Business for the PG Program in Analytics and Business Intelligence.
Views: 70546 Great Learning
Google and CIA Internet Data Mining Project
 
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Google Ventures, the investment arm of Google, has injected a sum of up to $10 million, as has In-Q-Tel -- which handles investments for the CIA and the wider intelligence network -- into a company called Recorded Future. The company describes its analytics as "the ultimate tool for open-source intelligence". Wired's defence analyst, Noah Schachtman, has a detailed report on the joint venture: "...it scours tens of thousands of websites, blogs and Twitter accounts to find the relationships between people, organizations, actions and incidents — both present and still-to-come. In a white paper, the company says its temporal analytics engine "goes beyond search" by "looking at the 'invisible links' between documents that talk about the same, or related, entities and events." The idea is to figure out for each incident who was involved, where it happened and when it might go down. Recorded Future then plots that chatter, showing online "momentum" for any given event." Recorded Future "continually scans thousands of news publications, blogs, niche sources, trade publications, government web sites, financial databases and more," according to it's portfolio. It sifts through millions of posts and conversations taking place on blogs, YouTube, Twitter and Amazon to "assemble actual real-time dossiers on people." It is also being integrated with Google Earth, which, as Schachtman points out in his piece, was seeded with In-Q-Tel/CIA investment. This integration will allow real time tracking of the locations of persons or groups as part of the overall intelligence dossier. Recorded Future takes in vast amounts of personal information such as employment changes, personal education and family relations. The video also shows categories covering pretty much everything else, including entertainment, music and movie releases, as well as other innocuous things like patent filings and product recalls.
Views: 6257 the1dutchmaster
Customer Insights Via Data Mining
 
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Statistical Consultants Ltd is a New Zealand based company that provides a wide range of statistical services to the private and public sectors, locally and internationally. http://www.statisticalconsultants.co.nz/
Philip Evans: How data will transform business
 
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What does the future of business look like? In an informative talk, Philip Evans gives a quick primer on two long-standing theories in strategy — and explains why he thinks they are essentially invalid. 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 (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more. Find closed captions and translated subtitles in many languages at http://www.ted.com/translate Follow TED news on Twitter: http://www.twitter.com/tednews Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector
Views: 241426 TED
Introduction to Data Mining: Types of Sampling
 
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In this Data Mining Fundamentals tutorial, we discuss the different types of sampling for data preprocessing, such as random sampling, stratified sampling, sampling without and with replacement. We will also dive into the issues of sample size, and how that can effect your sampling. -- Learn more about Data Science Dojo here: https://hubs.ly/H0hCnRz0 Watch the latest video tutorials here: https://hubs.ly/H0hCnrN0 See what our past attendees are saying here: https://hubs.ly/H0hCnRN0 -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 4000+ employees from over 830 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Like Us: https://www.facebook.com/datasciencedojo Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/datasciencedojo Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_science_dojo Vimeo: https://vimeo.com/datasciencedojo
Views: 7496 Data Science Dojo
Accenture seeks to improve mining sector data analytics
 
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JOHANNESBURG (miningweekly.com) – Global professional services company Accenture is investing in a new Applied Intelligence Studio for Mining, in Johannesburg, which will combine the latest in data science and artificial intelligence technologies with deep industry knowledge for the development of new intelligent digital solutions that can help mining companies solve some of their most significant challenges.
Views: 40 CreamerMedia
Introduction to Principal Component Analysis | Machine Learning | Data Mining | Great Learning
 
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#PrincipalComponentAnalysis | Learn more about our analytics programs: http://bit.ly/2EtxyQM This tutorial helps you understand the basics of Principal Component Analysis and its applications in Data Analytics. #DataMining #MachineLearning #DataAnalytics #PCS ----------------------------------------- PG Program in Business Analytics (PGP-BABI): 12-month program with classroom training on weekends + online learning covering analytics tools and techniques and their application in business. PG Program in Big Data Analytics (PGP-BDA): 12-month program with classroom training on weekends + online learning covering big data analytics tools and techniques, machine learning with hands-on exposure to big data tools such as Hadoop, Python, Spark, Pig etc. PGP-Data Science & Engineering: 6-month weekend and classroom program allowing participants enables participants in learning conceptual building of techniques and foundations required for analytics roles. PG Program in Cloud Computing: 6-month online program in Cloud Computing & Architecture for technology professionals who want their careers to be cloud-ready. Business Analytics Certificate Program (BACP): 6-month online data analytics certification enabling participants to gain in-depth and hands-on knowledge of analytical concepts. About Great Learning: Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more. Watch the video to know ''Why is there so much hype around 'Artificial Intelligence'?'' https://www.youtube.com/watch?v=VcxpBYAAnGM What is Machine Learning & its Applications? https://www.youtube.com/watch?v=NsoHx0AJs-U Do you know what the three pillars of Data Science? Here explaining all about thepillars of Data Science: https://www.youtube.com/watch?v=xtI2Qa4v670 Want to know more about the careers in Data Science & Engineering? Watch this video: https://www.youtube.com/watch?v=0Ue_plL55jU For more interesting tutorials, don't forget to Subscribe our channel: https://www.youtube.com/user/beaconelearning?sub_confirmation=1 Learn More at: https://www.greatlearning.in/ For more updates on courses and tips follow us on: Google Plus: https://plus.google.com/u/0/108438615307549697541 Facebook: https://www.facebook.com/GreatLearningOfficial/ LinkedIn: https://www.linkedin.com/company/great-learning/ - Follow our Blog: https://www.greatlearning.in/blog/?utm_source=Youtube Great Learning has collaborated with the University of Texas at Austin for the PG Program in Artificial Intelligence and Machine Learning and with UT Austin McCombs School of Business for the PG Program in Analytics and Business Intelligence.
Views: 1574 Great Learning