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Machine Learning Resources For You

Machine Learning Resources For You

If you have been looking for a comprehensive list of some of the best machine learning resources available, you've come to the right place. Check out offerings from experts in machine learning and come back periodically for updates!

Popular books
- Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die – Eric Siegel
- The Signal and the Noise: Why So Many Predictions Fail--but Some Don't – Nate Silver
- The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World – Pedro Domingos

Textbooks
- Introduction to Statistical Learning with Application in R - Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani (free PDF)
- Applied Predictive Modeling – Max Kuhn, Kjell Johnson (Kuhn is the creator of the caret package in R)
- Introduction to Data Mining , Pang-Ning Tan, Michael Steinbach, Vipin Kumar (samplechapters )

Websites / blogs
- Analytics Vidhya (detailed machine learning and data science tutorials)
- KDnuggets(data science news)
- Eight2Late(look for "A Gentle Introduction To ___" guides)
- Stack Overflow (ask your coding questions here)

Podcasts
- Talking Machines (machine learning research trends and interviews in academia)
- Partially Derivative (tracking the wonderful and weird in machine learning news)
- Linear Digressions(Udacity’s data science podcast)
- The O'Reilly Data Show

Newsletters
- Data Science Weekly
- Data Elixir
- O'Reilly Data Newsletter
- KD Nuggets
- The Wild Week in AI

Courses, tutorials and videos
- Machine Learning – Stanford University (Coursera)
- Machine Learning by Georgia Tech – Supervised, Unsupervised and Reinforcement (Udacity)
- DataCamp.com(interactive tutorials)
- Data Science from Derek Kane(data science tutorials on YouTube)
- Khan Academy(linear algebra course is really useful for understanding machine learning)

Social Media Accounts
LinkedIn groups:
- Data Mining, Statistics, Big Data, Data Visualization, and Data Science
- Data Science Central
Twitter:
@dpatil, @hackingdata -- coined the term Data Scientist
@flowingdata -- author of "Rise of the Data Scientist"
@drewconway -- created the Data Science Venn Diagram
@hmason -- founder Fast Forward labs
@chishwiggins -- Chief Data Scientist for New York Times
@kirkdborne -- Principal Data Scientist at Booz Allen
@kdnuggets -- data science news
@bigdata -- Chief Data Scientist at O'Reilly Media
@wesmckinn -- creator of Pandas package (Python)
@t3kcit, @gaelvaroquaux, @ogrisel -- scikit-learn contributors (Python)
@revodavid, @statgarrett -- R programming experts
@Hadley Wickham -- ggplot creator, R and data viz expert
@mikeolson, @josh_wills -- Cloudera
@antgoldbloom, @benhammer -- Kaggle co-founders
@peteskomoroch, @mrogati -- former LinkedIn data scientists
@BecomingDataSci -- data science learning journey
@ryan_p_adams -- host of Talking Machines
@chrisalbon, @jonathanmorgan -- Partially Derivative hosts
@dataisbeautiful -- popular sub-reddit
@Twitter Data -- Twitter data visualizations