Hacker News Books

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

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The DevOps Handbook: How to Create World-Class Agility, Reliability, and Security in Technology Organizations

Gene Kim , Patrick Debois , et al.

4.6 on Amazon

2 HN comments

Deep Learning with Python

François Chollet

4.5 on Amazon

2 HN comments

Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition

Stefan Jansen

4.5 on Amazon

2 HN comments

Building Microservices: Designing Fine-Grained Systems

Sam Newman

4.5 on Amazon

2 HN comments

Team Topologies: Organizing Business and Technology Teams for Fast Flow

Matthew Skelton , Manuel Pais , et al.

4.6 on Amazon

2 HN comments

UNIX and Linux System Administration Handbook

Evi Nemeth, Garth Snyder, et al.

4.7 on Amazon

2 HN comments

Building Mobile Apps at Scale: 39 Engineering Challenges

Gergely Orosz

5 on Amazon

2 HN comments

Release It!: Design and Deploy Production-Ready Software

Michael T. Nygard

4.7 on Amazon

2 HN comments

Advances in Financial Machine Learning

Marcos Lopez de Prado

4.5 on Amazon

2 HN comments

How Google Works

Eric Schmidt and Jonathan Rosenberg

4.5 on Amazon

2 HN comments

Start with Why: How Great Leaders Inspire Everyone to Take Action

Simon Sinek

4.6 on Amazon

1 HN comments

Press Reset: Ruin and Recovery in the Video Game Industry

Jason Schreier

4.4 on Amazon

1 HN comments

The Elder Scrolls: The Official Cookbook

Chelsea Monroe-Cassel

4.9 on Amazon

1 HN comments

Grokking Algorithms: An Illustrated Guide for Programmers and Other Curious People

Aditya Bhargava

4.6 on Amazon

1 HN comments

The Phoenix Project (A Novel About IT, DevOps, and Helping Your Business Win)

Gene Kim

4.7 on Amazon

1 HN comments

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DopameaneronApr 20, 2021

Advances in Financial Machine Learning by Marcos Lopez de Prado is one of the best books i read last year. Especially on back testing, strategy risk are my fav.

guard0gonApr 24, 2021

Nowadays RL and Gaussian processes are very popular on the trading side, as is applying attention-based NLP techniques for pattern recognition. If you are interested in stochastic calculus and convex strategies, John Hull's "Options, Futures and Other Derivatives" is a classic read. Another good book is Marcos Lopez de Prado's "Advances in Financial Machine Learning."
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