- The Master Algorithm (Pedro Domingos)
- Quand la machine apprend (Yann Le Cun) +ru
- Make Your Own Neural Network (Tariq Rashid)
- Deep Learning from Scratch (Seth Weidman)
- Deep Learning with Python (François Chollet)
- Deep Learning and the Game of Go (Max Pumperla)
- Generative Deep Learning (David Foster)
- Hands-On Large Language Models (Jay Alammar)
- Build a Large Language Model (From Scratch) (Sebastian Raschka)
- Introduction to Machine Learning with Python (Andreas C. Müller)
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (Aurélien Géron)
- Machine Learning with PyTorch and Scikit-Learn (Sebastian Raschka)
- Python for Data Analysis (Wes McKinney)
- Python Data Science Handbook (Jake VanderPlas)
- Modern Time Series Forecasting with Python (Manu Joseph)
- Titans: Learning to Memorize at Test Time
- It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization
- Nested Learning: The Illusion of Deep Learning Architectures
- Titans Revisited: A Lightweight Reimplementation and Critical Analysis of a Test-Time Memory Model
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