android intelligence

Agentic Ai: The Insights You Need from Harvard Business Review - (HBR Insights) (Paperback)

Generative AI on Kubernetes - by Roland Huß & Daniele Zonca (Paperback)

Build a Large Language Model (from Scratch) - (From Scratch) by Sebastian Raschka (Paperback)

The Ultimate ChatGPT Prompt Book - by Igor Pogany (Paperback)

Building LLM Applications with Dspy - by Serj Smorodinsky & Brett Kennedy (Paperback)

What Is ChatGPT Doing ... and Why Does It Work? - by Stephen Wolfram (Paperback)

Deep Learning - (Adaptive Computation and Machine Learning) by Ian Goodfellow & Yoshua Bengio & Aaron Courville (Hardcover)

AI Agents in Action, Second Edition - (In Action) by Micheal Lanham (Paperback)

Love Machines - by James Muldoon (Hardcover)

Reinforcement Learning - by D Phil Winder Ph (Paperback)

Designing AI Systems - (Bookcamp) by Suhas Suresha & Dewang Sultania (Paperback)

AI Snake Oil - by Arvind Narayanan & Sayash Kapoor

AI Investing for Dummies - by Paul Mladjenovic (Paperback)

Programming Computer Vision with Python - by Jan Erik Solem (Paperback)

Microsoft Power Platform for Dummies - by Jack A Hyman (Paperback)

Behind Deep Blue - by Feng-Hsiung Hsu (Paperback)

Hands-On LLM Serving and Optimization - by Chi Wang & Peiheng Hu (Paperback)

Mastering Claude AI - by Ryan Dickey (Paperback)

It Architecture for Dummies - (For Dummies) by Kalani Kirk Hausman & Susan L Cook (Paperback)

Context Engineering with Dspy - by Mike Taylor (Paperback)

Hbr's 10 Must Reads on AI (with Bonus Article How to Win with Machine Learning by Ajay Agrawal, Joshua Gans, and AVI Goldfarb) - (Paperback)

Text Mining with R - by Julia Silge & David Robinson (Paperback)

Practical Explainable AI Using Python - by Pradeepta Mishra (Paperback)

Designing Human-Centric AI Experiences - (Design Thinking) by Akshay Kore (Paperback)