Machine Learning
Dive deep into the algorithms that power modern technology with our archive of machine learning non-fiction. Through illuminating works like Brian Christian's The Alignment Problem and Pedro Domingos's The Master Algorithm, this collection unpacks the mechanics, biases, and societal impacts of self-learning computational models.
The Worlds I See
By Fei-Fei Li
Pub: 2025
Atlas of AI
Pub: 2022
The Rise of Big Data Policing
Pub: 2019
Deep Medicine
By Eric Topol
Pub: 2019
The Black Box Society
Pub: 2016
The Ethical Algorithm
Pub: 2019
You Look Like a Thing and I Love You
Pub: 2019
The Alignment Problem
Pub: 2021
Automating Inequality
Pub: 2018
Hello World
By Hannah Fry
Pub: 2018
Genius Makers
By Cade Metz
Pub: 2021
Prediction Machines, Updated and Expanded
By Ajay Agrawal
Pub: 2022
The Master Algorithm
Pub: 2015