r/MachineLearning · 2022
Most-mentioned books in r/MachineLearning during 2022
This page ranks books by exact tracked mentions in r/MachineLearning within the published source unit for 2022. Counts come from the reconciled subreddit-by-month matrix; a source unit may be a bounded sample.
#1 Cracking the Coding Interview
Gayle Laakmann McDowell
The book that turned software hiring into a sport — written by the ex-Googler who introduced programming challenges to the process in the first place.
#2 Designing Data-Intensive Applications
Martin Kleppmann
A backend engineer's field guide to the tradeoffs behind every database, queue, and distributed system you will ever touch.
#3 Designing Machine Learning Systems
Chip Huyen
Chip Huyen's Stanford ML systems course turned book: a production-ready blueprint from data pipelines to deployment drift.
#4 The C Programming Language
Brian W. Kernighan
The 1978 book that defined C's syntax, co-written by its creator, still cited by name 281 times across Reddit in 7 years.