Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more

LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

Machine Learning for Hackers: Case Studies and Algorithms to Get You Started

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Understanding Deep Learning

Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices

The AI Product Manager's Handbook: Develop a product that takes advantage of machine learning to solve AI problems

Practical Mathematics for AI and Deep Learning: A Concise yet In-Depth Guide on Fundamentals of Computer Vision, NLP, Complex Deep Neural Networks and Machine Learning (English Edition)

Machine Learning with Rust: A practical attempt to explore Rust and its libraries across popular machine learning techniques