masteralgorithm   518hbeUDHhL._SX328_BO1,204,203,200_   datascienceforbusiness

The main thing I miss about graduate school is reading two or three books a week. I don’t read near that much now, but I’m also never not reading a book or two. Here’s what is on my nightstand now, and what’s coming up next. This list doesn’t include my data science reading, which you can find on my progress page.

In the middle of:

  • Data Science for Business by Provost & Fawcett
  • All The Rage: Buddhist Wisdom on Anger and Acceptance edited by Andrea Miller
  • The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World by Pedro Domingos

In the pipeline (in no particular order):

  • Thinking, Fast and Slow by Daniel Kahneman
  • Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy by Cathy O’Neil
  • Automate This: How Algorithms Came to Rule Our World by Christopher Steiner
  • 10% Happier by Dan Harris
  • Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are by Seth Stephens-Davidowitz.

Recently Completed:

  • Getting Started with SQL by Thomas Neild (O’Reilly)
  • Inadequate Equilibria: Where and How Civilizations Get Stuck by Eliezer Yudkowsky
  • The Signal and the Noise: Why So Many Predictions Fail, but Some Don’t by Nate Silver
  • Free Will by Sam Harris
  • Learn Python 3 the Hard Way by Zed A. Shaw
  • Collusion: Secret Meetings, Dirty Money, and How Russia Helped Donald Trump Win by Luke Harding
  • The Fire Next Time by James Baldwin

Have a suggestion? Leave a comment!

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