Hacker News Books

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

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Patterns of Enterprise Application Architecture

Martin Fowler

4.5 on Amazon

1 HN comments

Elements of Programming Interviews: The Insiders' Guide

Adnan Aziz , Tsung-Hsien Lee , et al.

4.6 on Amazon

1 HN comments

Programming Bitcoin: Learn How to Program Bitcoin from Scratch

Jimmy Song

4.5 on Amazon

1 HN comments

Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

Kevin P. Murphy

4.3 on Amazon

1 HN comments

Machine Learning in Finance: From Theory to Practice

Matthew F. Dixon , Igor Halperin , et al.

4.5 on Amazon

1 HN comments

The Alignment Problem: Machine Learning and Human Values

Brian Christian and Brilliance Audio

4.6 on Amazon

1 HN comments

Life 3.0: Being Human in the Age of Artificial Intelligence

Max Tegmark, Rob Shapiro, et al.

4.5 on Amazon

1 HN comments

Security Engineering: A Guide to Building Dependable Distributed Systems

Ross Anderson

4.8 on Amazon

1 HN comments

Countdown to Zero Day: Stuxnet and the Launch of the World's First Digital Weapon

Kim Zetter, Joe Ochman, et al.

4.7 on Amazon

1 HN comments

Managing Humans: Biting and Humorous Tales of a Software Engineering Manager

Michael Lopp

4.4 on Amazon

1 HN comments

Information Dashboard Design: Displaying Data for At-a-Glance Monitoring

Stephen Few

4.5 on Amazon

1 HN comments

Implementing Domain-Driven Design

Vaughn Vernon

4.5 on Amazon

1 HN comments

Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services

Brendan Burns

4.3 on Amazon

1 HN comments

Kubernetes: Up and Running: Dive into the Future of Infrastructure

Brendan Burns , Joe Beda, et al.

4.6 on Amazon

1 HN comments

Unit Testing Principles, Practices, and Patterns: Effective testing styles, patterns, and reliable automation for unit testing, mocking, and integration testing with examples in C#

Vladimir Khorikov

4.8 on Amazon

1 HN comments

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agi_prometheusonApr 22, 2021

I love to read. I am doing it right since my school days. So, it was always a part of my life. But I would recommend you to read these books:

If you have a science background then read
1) Good to Great
2) Life 3.0

If you don't have a science background
1) Future of Capitalism.
2) Good to Great

"Good to great" is a fantastic book for every entrepreneur out there.

Go! read them right now.

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