Data science and machine learning books

Did you come here expecting to find the “Hundred-page machine learning book” or “Elements of statistical learning”?

This article is going to be a bit different.

In this article, I want to highlight the 5 books that expose the controversial policies and business models, as well as the surveillance abuses of companies that use artificial intelligence and people’s data at the core of their products.

These are, in my opinion, the “best data science books”:

• Don’t be evil, by Rana Foroohar
• Weapons of math destruction, by Cathy O’Neil
• The age of surveillance capitalism, by Shoshana Zuboff
• Algorithms of oppression, by Safiya Umoja Noble
• Stolen focus, by Johann Hari

Let’s dive in.

This article was originally published on Train in Data’s blog.

Don’t be evil

Don’t be Evil investigates how today’s most powerful corporations are upending our economies, tainting our political systems, and clouding our minds with their dubious practices, abuses of surveillance, and market share supremacy.