I write practical, research-backed books on AI and machine learning. Trusted by thousands of practitioners worldwide and highly rated on Amazon.
The Seminal Papers
Principles for architecting reliable and verifiable AI. A curated deep-dive into the foundational research papers that shaped RAG — with practical commentary and implementation guidance.
2nd Edition
Build production-ready LLM applications and advanced agents using Python and LangGraph. The go-to guide for developers building real-world generative AI systems.
Selected 5-star reviews for "Generative AI with LangChain (2nd Edition)"
"One of the best GenAI books out there. Comprehensive, practical, and well-structured. It covers everything from basics to advanced agent patterns."
"An essential resource for anyone working with LangChain. Packed with real-world examples that you can actually use in production."
"This book is a game changer. It bridges the gap between toy examples and production-grade LLM applications beautifully."
1st Edition
Use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods. Covers classical techniques through deep learning approaches.
Selected 5-star reviews for "Machine Learning for Time Series (1st Edition)"
"Excellent coverage of modern time series methods. A must-read for data scientists working with temporal data."
"Well-written and thorough. Covers classical methods and deep learning approaches with clear Python examples."
"Finally a book that brings together all the modern ML approaches for time series in one place. Highly recommended."
Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6. Practical, hands-on solutions for real AI challenges.
Selected 5-star reviews for "Artificial Intelligence with Python Cookbook"
"A practical and well-organized cookbook. Great for intermediate practitioners looking to expand their AI toolkit."
"Solid recipes that work. Each chapter tackles a real problem with a clear solution. Very hands-on."
"Exactly what I needed — practical AI solutions without the fluff. Good balance of theory and code."