The Hundred-Page Machine Learning Book by Andriy Burkov Blog

Hyperparameter Tuning - [Recommended Reading]

Recommended Reading * Algorithms for Hyper-Parameter Optimization by Bergstra et al. (NIPS, 2011) * Hyperparameter tuning for machine learning models by Jeremy Jordan * Hyperparameter Optimization in Machine Learning Models by Sayak Paul Recommended Watching * Hyperparameter tuning I on Coursera.

start - [Released Drafts of the Chapters]

This is the supporting wiki for the book The Hundred-Page Machine Learning Book by Andriy Burkov. The book is now available on Amazon and most major online bookstores.

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Why Does Model Work on New Data - [Recommended Watching]

Recommended Reading * Overview of the Probably Approximately Correct (PAC) Framework by David Haussler * Chapter 7 of Machine Learning by Tom Mitchell (1997) Recommended Watching * PAC Learning by Georgia Tech/Udacity (2015).

PlayGround

This is companion wiki of The Hundred-Page Machine Learning Book by Andriy Burkov. The book that aims at teaching machine learning in a concise yet systematic manner.

Topics not Covered in this Book

Image Generation * GAN by Google * Large Scale GAN Training for High Fidelity Natural Image Synthesis by Brock et al (2018) * Image Transformer by Parmar et all (2018) * The Illustrated Stable Diffusion by Jay Alammar * NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis by…

Reinforcement Learning - old revision restored (2024/06/25 13:40)

Recommended Reading with love * Reinforcement Learning: An Introduction, Second Edition by Sutton and Barto (2018)... Lectures * Reinforcement Learning Course by Deep Mind and University College London (2018) * Stanford CS234: Reinforcement Learning by Stanford University (2019)

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