Hacker News Books

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

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The Help

Kathryn Stockett

4.8 on Amazon

1 HN comments

Brainstorm: The Power and Purpose of the Teenage Brain

Daniel J. Siegel MD

4.6 on Amazon

1 HN comments

Sixth Extinction

Kolbert

4.6 on Amazon

1 HN comments

Into the Magic Shop: A Neurosurgeon's Quest to Discover the Mysteries of the Brain and the Secrets of the Heart

James R. Doty MD

4.7 on Amazon

1 HN comments

Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python

Peter Bruce, Andrew Bruce, et al.

4.6 on Amazon

1 HN comments

Black Skin, White Masks

Frantz Fanon and Richard Philcox

4.8 on Amazon

1 HN comments

Math Without Numbers

Milo Beckman

4.5 on Amazon

1 HN comments

Genius Foods: Become Smarter, Happier, and More Productive While Protecting Your Brain for Life (Genius Living, 1)

Max Lugavere and Paul Grewal M.D.

4.6 on Amazon

1 HN comments

The Fabric of Civilization: How Textiles Made the World

Virginia Postrel

4.7 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

Mushrooms: How to Identify and Gather Wild Mushrooms and Other Fungi

DK

4.8 on Amazon

1 HN comments

I Don't Want to Talk About It: Overcoming the Secret Legacy of Male Depression

Terrence Real

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

Simplicity Parenting: Using the Extraordinary Power of Less to Raise Calmer, Happier, and More Secure Kids

Kim John Payne, Arthur Morey, et al.

4.7 on Amazon

1 HN comments

The Planets: The Definitive Visual Guide to Our Solar System

Robert Dinwiddie , Heather Couper, et al.

4.9 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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