Top Hacker News Book Recommendations in Science & Math (past 6 months)

All Time Past 6 Months

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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darawkonJune 26, 2021

Attempting to self study statistics and econometrics in a serious way. I just finished Casella and Berger's "Statistical Inference". I'm about halfway through Shumway and Stoffer's "Time Series Analysis", but then next on the list, in the order I tend to read them:

  - Theory of Point Estimation Casella/Lehmann

  - Bayesian Data Analysis 3rd ed.

  - Convex Optimization - Boyd

  - Econometrics - Hayashi

  - New Introduction to Multiple Time Series Analysis

  - Elements of Statistical Learning

  - Machine Learning: A probabilistic perspective

There's a fair amount of overlap between these books, so it's not quite as much as it seems. But i'm hoping to make it through at least a chapter a week this year, which should get me most of the way through them. We'll see how it goes.

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