As a way both to hold myself accountable (read more, etc. etc.) and to share my thoughts on what I’ve read, I leave some thoughts here on each book I finish.

Currently Reading

Hands-on Machine Learning with Scikit-Learn, Keras & Tensorflow by Aurélien Géron

Past Reads

  • Deep Learning with Python by François Chollet

    An excellent primer on practical deep learning, using the Keras package in Python. I’ve begun the book and failed to finish it a few times before, but this time I powered through. It’s far from riveting, but Chollet really does a great job explaining a difficult topic in an intuitive way, and the walkthroughs are mostly quite clear. From what I’ve heard, this book is the gold standard for getting started with deep learning, and I can see why.

  • How To: Absurd Scientific Advice for Common Real-world Problems by Randall Munroe

    This was a fun, quick read. Randall Munroe is the author of the widely beloved online comic XKCD, and his books have a very similar tone – mostly funny, but occasionally educational.

    For the kind of people who are interested in science and technology, this book is a nice change-of-pace from the dry reading they probably spend most of their time on.

  • Apple Confidential 2.0: The Definitive History of the World's Most Colorful Company by Owen Linzmayer

    This book was published well before Apple became what we know it as today: the iPod had just become popular and the iPhone didn’t even exist. That makes this book really refreshing because it doesn’t have the hindsight bias of anything published in the iPhone era. And because Apple is treated like a normal company, Steve Jobs is treated like a normal person – in particular, held to the standards of a normal person. And it does not go well for Steve in this account.

    This book is also a good reminder that Apple actually was an innovator before the iPhone, but in areas most people have forgotten. Overall, I’d strongly recommend it.