Mikhail Oksenenko

Mastering Artificial Intelligence

cover

Part I. Intro

  1. The Master Algorithm (Pedro Domingos)
  2. Quand la machine apprend (Yann Le Cun) +ru
  3. Make Your Own Neural Network (Tariq Rashid)

Part II. Foundation

  1. Deep Learning from Scratch (Seth Weidman)
  2. Deep Learning with Python (François Chollet)
  3. Deep Learning and the Game of Go (Max Pumperla)

Part III. Advanced

  1. Generative Deep Learning (David Foster)
  2. Hands-On Large Language Models (Jay Alammar)
  3. Build a Large Language Model (From Scratch) (Sebastian Raschka)

Part IV. Grok

  1. Introduction to Machine Learning with Python (Andreas C. Müller)
  2. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (Aurélien Géron)
  3. Machine Learning with PyTorch and Scikit-Learn (Sebastian Raschka)

Part V. Tools

  1. Python for Data Analysis (Wes McKinney)
  2. Python Data Science Handbook (Jake VanderPlas)
  3. Deep Learning with JAX (Grigory Sapunov)

%%

This site is open source. Improve this page.