Greetings,
This list includes material that I have used and would recommend.
Whenever possible, I prefer to list FREE material.
Enjoy

🌟 - Represents Favorites ; 📗 - Represents Free Online Books

Books

General Statistics

Advanced Applied Math

Linear Algebra

Programming Help :floppy_disk:

  • Free Code Camp, FREE

  • GoalKicker.com FREE - Programming Books
    • BASH, Python, MySQL, GIT, Linux, …
    • Love these; they are more like terse notes for a quick reference.
  • Syncfusion Ebooks, The Succinctly series has some small guides but pretty good & FREE

Data Visualization

R-cran

Python :snake:

Bash :goat:

SQL

Markdown :arrow_down_small:

Linux :penguin:

Machine Learning :tractor:

Information Theory

Supervised :label:

Unsupervised

Semi-supervised

Reinforcement Learning

Articles

  • 🌟 Top 10 algorithms in data mining, by Xindong Wu et al I found this 2007 paper really interesting as it was my starting point. The written explanations of the ML tools are not written for beginners in mind, however I feel that it provides a look into which tools are commonly used (as of 2007) and still important overall. I might suggest pulling out the Algos and investigating them in conjunction with other literature.

People

Videos

Miscellaneous

  • 🌟 Calibre This program is Excellent for organizing PDF’s, Epubs and mobi book and article formats. My favorite book and pdf cataloging software FREE

  • 🌟 LeanPub is a great resource for computer related books. Many books are pay what you want. They have books by Roger Peng and Jeff Leek who have written books on D.S.

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