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.
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.
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.