Machinelearning


Hands-On Machine Learning with Scikit-Learn and TensorFlow
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
The Hundred-Page Machine Learning Book
Artificial Intelligence: A Modern Approach
Deep Learning with Python
Deep Learning
Machine Learning: A Probabilistic Perspective
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Machine Learning: An Algorithmic Perspective (Chapman & Hall/Crc Machine Learning & Pattern Recognition)
Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R
Deep Learning for Coders with Fastai and Pytorch: AI Applications Without a PhD
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
Learning From Data: A Short Course
Algorithms to Live By by Brian  ChristianNine Algorithms That Changed the Future by John    MacCormickThe Master Algorithm by Pedro DomingosAlan Turing by Andrew HodgesAlgorithms Unlocked by Thomas H. Cormen
Algorithims/ Computation
20 books — 14 voters

What would it mean to build artificial intelligences and other machines that were more like octopuses, more like fungi, or more like forests?
James Bridle, Ways of Being: Animals, Plants, Machines: The Search for a Planetary Intelligence

Some cars run on fuel, some on electricity—future cars will run on pure intelligence. – AICars
AIinCars

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