- Data Journalism Handbook 2 – Online beta access to the first 21 chapters
- Select Star SQL – A book that is also a walk-through interactive tutorial for learning SQL
- Dive Into Deep Learning – A very detailed and up-to-date book on Deep Learning; used at Berkeley. It also includes Jupyter notebooks.
- R for Data Science – Just like the title says, learn to use R for data science.
- Advanced R – A work in progress for the second edition of the book.
This is just a short list of a few books that I have have recently discovered online.
- Model-Based Machine Learning – Chapters of this book become available as they are being written. It introduces machine learning via case studies instead of just focusing on the algorithms.
- Foundations of Data Science – This is a much more academic-focused book which could be used at the undergraduate or graduate level. It covers many of the topics one would expect: machine learning, streaming, clustering and more.
- Deep Learning Book – This book was previously available only in HTML form and not complete. Now, it is free and downloadable.
About a week ago I posted a link to a free data mining textbook. Hacker News got wind of the book as well, and I am guessing a flood of traffic hit the textbook’s site. The flood happened to take the site completely down for a couple of days. It was a shame because the book is really good.
If you frequently read this blog, you will notice it has quite a number of links to free online textbooks. Each free online textbook is available a bit differently. Most are PDF downloads (either by chapter or the entire book) hosted at some person’s personal website or somewhere on a university’s website.
Here is my question. Does the web have a publishing platform for textbooks? Is there a startup working on something like this?
I am aware of wikibooks, but I just don’t hear much about the quality of the books. As a matter of fact, I just don’t hear much about wikibooks.
Reading Your E-book is Reading You in the Wall Street Journal, is an excellent example of data science. Book publishers now know how much of a book readers will finish, how long they read, what book they read next, and lots of other stuff. Read the article and find out more. It also opens the door to some privacy issues.
A big thanks to Mark Nickel for sharing the article with me.
This is a very entertaining Ted Talk about how what books can tell us over time. Just watch the video.