Hacker News Books

40,000 HackerNews book recommendations identified using NLP and deep learning

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Thinking in Bets: Making Smarter Decisions When You Don't Have All the Facts

Annie Duke and Penguin Audio

4.4 on Amazon

1 HN comments

“Surely You’re Joking, Mr. Feynman!”: Adventures of a Curious Character

Richard P. Feynman , Ralph Leighton , et al.

4.6 on Amazon

1 HN comments

Spark: The Revolutionary New Science of Exercise and the Brain

John J. Ratey MD and Eric Hagerman

4.7 on Amazon

1 HN comments

Mycelium Running: How Mushrooms Can Help Save the World

Paul Stamets

4.8 on Amazon

1 HN comments

Delivered from Distraction: Getting the Most out of Life with Attention Deficit Disorder

Edward M. Hallowell and John J. Ratey

4.7 on Amazon

1 HN comments

Black Skin, White Masks

Frantz Fanon and Richard Philcox

4.8 on Amazon

1 HN comments

Infinite Powers: How Calculus Reveals the Secrets of the Universe

Steven Strogatz

4.7 on Amazon

1 HN comments

How to Decide: Simple Tools for Making Better Choices

Annie Duke and Penguin Audio

4.4 on Amazon

1 HN comments

Six Easy Pieces: Essentials of Physics Explained by Its Most Brilliant Teacher

Richard P. Feynman , Robert B. Leighton , et al.

4.7 on Amazon

1 HN comments

Math Without Numbers

Milo Beckman

4.5 on Amazon

1 HN comments

The Man Who Solved the Market: How Jim Simons Launched the Quant Revolution

Gregory Zuckerman, Will Damron, et al.

4.5 on Amazon

1 HN comments

Molecular Biology of the Cell

Bruce Alberts, Alexander D. Johnson, et al.

4.5 on Amazon

1 HN comments

Teaming with Microbes: The Organic Gardener's Guide to the Soil Food Web, Revised Edition

Jeff Lowenfels and Wayne Lewis

4.8 on Amazon

1 HN comments

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

Trevor Hastie, Robert Tibshirani , et al.

4.6 on Amazon

1 HN comments

Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps

Valliappa Lakshmanan , Sara Robinson, et al.

4.6 on Amazon

1 HN comments

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samuellonJune 25, 2021

I'm a lot into how to streamline data architectures, especially around ML solutions, so some titles related to that.

I'm already reading Kleppman's book right now. Tons of very useful knowledge, although quite detailed, and a lot of details around distributed computing, consensus algorithms etc (Part II), which I'm not sure I will need and which make the book rather long. Still, surely worth pressing through.

Some titles I would like to dive into in the summer:

- "The Art of Immutable Architecture" by Michael Perry.
Possibly also:

- "Machine Learning Design Patterns" by by Valliappa Lakshmanan et al.

- "Building Secure and Reliable Systems" by by Heather Adkins et al.

And perhaps something lighter, more inspirational for the day to day work:

- "Coders at work" by Peter Seibel

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