Free Programming Books (I still need to read)

There are multiple unread e-mails in my inbox.

Links to books.

Just sitting there. Waiting to be opened, read. For months already.

The sender, you ask? Me. Paul van der Laken.

A nuisance that guy, I tell you. He keeps sending me reminders, of stuff to do, books to read. Books he's sure a more productive me would enjoy.

Now, I could wipe my inbox. Be done with it. But I don't wan't to lose this digital to-do list… Perhaps I should put them here instead. So you can help me read them!

Each of the below links represents a formidable book on programming! (I hear)
And there are free versions! Have a quick peek. A peek won't hurt you:

Disclaimer: This page contains one or more links to Amazon.
Any purchases made through those links provide us with a small commission that helps to host this blog.

  • Applied Predictive Modelling – by Max Kuhn & Kjell Johnson
    • Buy this book via Amazon to support its authors
    • https://vuquangnguyen2016.files.wordpress.com/2018/03/applied-predictive-modeling-max-kuhn-kjell-johnson_1518.pdf
    • https://github.com/mravendi/data-science-machine-learning-ai-resources/blob/master/books/Applied%20Predictive%20Modeling.pdf
  • Feature Engineering and Selection: A Practical Approach for Predictive Models – by Max Kuhn & Kjell Johnson
    • http://www.feat.engineering/
  • The Pragmatic Programmer – by Andrew Hunt & David Thomas
    • Buy this book via Amazon to support its authors
    • https://www.nceclusters.no/globalassets/filer/nce/diverse/the-pragmatic-programmer.pdf
  • Clean Code – by Robert Martin
    • Buy this book via Amazon to support its authors
    • https://www.investigatii.md/uploads/resurse/Clean_Code.pdf
  • R for Data Science – by Hadley Wickham
    • Buy this book via Amazon to support its authors
    • https://r4ds.had.co.nz/
  • Advanced R – by Hadley Wickham
    • Buy this book via Amazon to support its authors
    • https://adv-r.hadley.nz/index.html
  • R Markdown: The Definitive Guide – by Yihui Xie, J. J. Allaire, & Garrett Grolemund
    • Buy this book via Amazon to support its authors
    • https://bookdown.org/yihui/rmarkdown/
  • Bookdown: Authoring Books and Technical Documents with R Markdown – by Yihui Xie
    • Buy this book via Amazon to support its authors
    • https://bookdown.org/yihui/bookdown/
  • blogdown – by Yihui Xie
    • Buy this book via Amazon to support its authors
    • https://bookdown.org/yihui/blogdown/
  • The Hundred Page Machine Learning Book – by Andriy Burkov
    • Buy this book via Amazon to support its authors
    • https://file.ai100.com.cn/files/file-code/original/cd136ebe-0e34-4e43-966b-224acff83005/100MLBOOK/Chapter8.pdf
  • An Introduction to Statistical Learning – by Gareth James, Daniela Witten, Trevor Hastie, & Robert Tibshirani
    • Buy this book via Amazon to support its authors
    • http://www-bcf.usc.edu/~gareth/ISL/
  • The Elements of Statistical Learning – by Trevor Hastie, Robert Tibshirani, & Jerone Friedman
    • Buy this book via Amazon to support its authors
    • http://web.stanford.edu/~hastie/ElemStatLearn/
  • Interpretable Machine Learning – by Christoph Molnar
    • Buy this book via LeanPub to support its authors
    • https://christophm.github.io/interpretable-ml-book/index.html
  • Deep Learning – by Ian Goodfellow, Yoshua Bengio, & Aaron Courville
    • Buy this book via Amazon to support its authors
    • https://www.deeplearningbook.org/
  • Deep Learning with Python – by Francois Chollet
    • Buy this book via Amazon to support its authors
    • https://www.pdfdrive.com/deep-learning-with-python-e54511249.html
    • https://github.com/hktxt/bookshelf/blob/master/Computer%20Science/Deep%20Learning%20with%20Python%2C%20Fran%C3%A7ois%20Chollet.pdf
  • Pro Git – by Scott Chacon & Ben Straub
    • Buy this book via Amazon to support its authors
    • https://git-scm.com/book/en/v2

The books listed above have a publicly accessible version linked. Some are legitimate. Other links are somewhat shady.
If you feel like you learned something from reading one of the books (which you surely will), please buy a hardcopy version. Or an e-book. At the very least, reach out to the author and share what you appreciated in his/her work.
It takes valuable time to write a book, and we should encourage and cherish those who take that time.

For more books on R programming, check out my R resources overview.

For books on data analytics and (behavioural) psychology in (HR) management, check out Books for the modern data-driven HR professional.