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. These books are general non-fiction. I have my more educational data science reading on my progress page.
In the middle of:
- Waking Up by Sam Harris
- The Coddling of the American Mind by Greg Lukianoff & Jonathan Jaidt
- From Eternity to Here by Sean Carroll
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.
- Mindfulness in Plain English by Bhante Henepola Gunaratana
- Incompleteness: The Proof and Paradox of Kurt Gödel by Rebecca Goldstein
- 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 Domingo
- 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
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