- Suggested self-study plan for data science for those acquainted with the basics? http://www-bcf.usc.edu/~gareth/ISL/ 11 comments datascience
- Comparison of ESL and ISL? http://www-bcf.usc.edu/~gareth/ISL/ 4 comments rstats
- An Introduction to Statistical Learning with Applications in R: How much background in linear algebra? http://www-bcf.usc.edu/~gareth/ISL/ 10 comments rstats
- Free book - An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani http://www-bcf.usc.edu/~gareth/ISL/ 10 comments statistics
Linking pages
- GitHub - prakhar1989/awesome-courses: List of awesome university courses for learning Computer Science! https://github.com/prakhar1989/awesome-courses 137 comments
- GitHub - ZuzooVn/machine-learning-for-software-engineers: A complete daily plan for studying to become a machine learning engineer. https://github.com/ZuzooVn/machine-learning-for-software-engineers/blob/master/README.md 111 comments
- GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software. https://github.com/josephmisiti/awesome-machine-learning 58 comments
- The 10 Statistical Techniques Data Scientists Need to Master | by James Le | Data Notes https://towardsdatascience.com/the-10-statistical-techniques-data-scientists-need-to-master-1ef6dbd531f7 20 comments
- The Blunt Guide to Mathematically Rigorous Machine Learning | by Harsh Sikka | Technomancy | Medium https://medium.com/technomancy/the-blunt-guide-to-mathematically-rigorous-machine-learning-c53263d45c7b 14 comments
- GitHub - justmarkham/DAT8: General Assembly's 2015 Data Science course in Washington, DC https://github.com/justmarkham/DAT8 14 comments
- In-depth introduction to machine learning in 15 hours of expert videos | R-bloggers http://www.r-bloggers.com/in-depth-introduction-to-machine-learning-in-15-hours-of-expert-videos/ 9 comments
- Most Recommended Data Science and Machine Learning Books by Top Master's Programs – LearnDataSci https://www.learndatasci.com/articles/data-science-machine-learning-books-masters/ 8 comments
- awesome-machine-learning/books.md at master · josephmisiti/awesome-machine-learning · GitHub https://github.com/josephmisiti/awesome-machine-learning/blob/master/books.md 5 comments
- The Skills That Data Analysts Need to Master | by DataScienceLover | Medium https://medium.com/@datasciencelove/the-skills-that-data-analysts-need-to-master-d22d810fc387 3 comments
- Spaced Repetition | Andrew T McKenzie https://andrewtmckenzie.com/spaced_repetition/ 1 comment
- Qix/dl.md at master · ty4z2008/Qix · GitHub https://github.com/ty4z2008/Qix/blob/master/dl.md 1 comment
- The Ultimate Guide to Linear Regression · Learning With Data https://learningwithdata.com/posts/tylerfolkman/the-ultimate-guide-to-linear-regression/ 0 comments
- GitHub - ujjwalkarn/Machine-Learning-Tutorials: machine learning and deep learning tutorials, articles and other resources https://github.com/ujjwalkarn/Machine-Learning-Tutorials 0 comments
- Model evaluation, model selection, and algorithm selection in machine learning http://sebastianraschka.com/blog/2016/model-evaluation-selection-part3.html 0 comments
- Good Books for All Things Data | Stitch Fix Technology â Multithreaded http://multithreaded.stitchfix.com/blog/2016/06/09/ds-books/ 0 comments
- 11 IPython Tutorials for Data Science and Machine Learning - DataScienceCentral.com http://www.datasciencecentral.com/profiles/blogs/top-10-ipython-tutorials-for-data-science-and-machine-learning 0 comments
- Kevin Zakka's Blog https://kevinzakka.github.io/2016/07/13/k-nearest-neighbor/ 0 comments
- GitHub - Xyclade/MachineLearning: Literature Study http://github.com/Xyclade/MachineLearning 0 comments
- Winning the bias-variance tradeoff http://jvns.ca/blog/2016/01/02/winning-the-bias-variance-tradeoff/ 0 comments
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