AI/ML Definitive Guide: Architecture, Models, Big Data, Deployment, Open-Source Tools, Cloud Services, MLOps, LLMs, Gen AI

I thoroughly enjoyed this book. I think it is suitable for both newcomers and experienced professionals. It provides practical tips for implementing AI/ML solutions. It highlights the importance of ethical AI practices. May be too detailed for complete beginners. Overall, this book is a must-read for anyone interested in AI/ML. Its detailed coverage, practical insights, and emphasis on ethics make it an excellent resource for professionals in the field.

The writer has done an excellent job of compiling a definitive guide that is both thorough and useful. The book’s structure allows readers to go through hard topics, making it an invaluable resource for anyone interested in AI/ML. I will put this book on my shelf for future reference, along with my other pile of AI-related books.

Reading this book was a turning point in my AI/ML journey. Suji Daniel-Paul’s clear explanations and practical examples helped me understand complex concepts that I had struggled with for years. The sections on MLOps and cloud services were particularly enlightening and have already improved my workflow. I can’t recommend this book enough. It’s a one-stop-shop for all things AI/ML.

For professionals in the AI/ML field, this book is essential. It provides a deep dive into advanced topics like LLMs and generative AI, backed by practical examples and case studies. Suji Daniel-Paul’s expertise and clear writing make this a standout guide.