Books

What could a mighty billion-parameter reasoning machine learn from a camel trying to touch its ear with its tongue? From a cup of coffee? From deleting your entire codebase while you sleep? More than you’d think. And less than you’d hope. Today’s AI is brilliant structure without grounding—a hollow genius. We chase smarter models but ignore the architecture they need. This book is about building that missing layer: the trust chains and systems that turn raw intelligence into reliable autonomy. For builders ready to move beyond prompts.Watch agents solve unsolvable problems. Learn to think in trust chains. Start here.

Become a better data scientist by understanding different modeling mindsets.

Learn how large language models work by building one from scratch. This hands-on guide walks you from first principles to a working Transformer you understand inside out.

This practical guide shows you how to harness ChatGPT and GPT-5 to boost productivity, create content, organize notes, and solve real-world problems efficiently.  Learn how to craft precise prompts, optimize responses, and apply AI ethically while avoiding common pitfalls like bias, repetitive outputs, and over-reliance. The book also covers the evolution of GPT models, the Transformer architecture, and essential techniques to maximize AI performance.  With hands-on examples, workflow integration tips, and insights into advanced AI tools, this guide empowers students, professionals, and hobbyists to confidently use AI in daily life.  Take control of AI, improve your efficiency, and explore new creative possibilities with this beginner-friendly, practical, and responsible guide to ChatGPT and GPT-5.  

Unlock the power of linear algebra in your data science projects! "Linear Algebra Essentials for Data Scientists" dives into the key concepts driving data analysis and machine learning. With clear explanations, practical Python examples, and hands-on exercises, this book is your gateway to mastering the mathematical foundations of data science.

Ditch slow, expensive AI APIs and bring the power of Large Language Models directly to your users' browsers. This guide teaches JavaScript and TypeScript developers how to build private, offline-capable, and blazing-fast AI applications. Master the local-first AI stack with Transformers.js, WebGPU, and Ollama to slash costs and own your data. Become a leader in the new era of serverless AI and deliver an instantaneous user experience

Unlock the power of Cyclical AI and move beyond linear chains with LangGraph.js. This deep-dive guide teaches TypeScript developers to build autonomous agents that can reason, loop, self-correct, and collaborate. Master the architecture of stateful, multi-agent systems, from advanced state management to production deployment. Stop building scripts and start engineering the intelligent, resilient systems of the future.

Stop learning Python and start building AI with the tools you already master. Master production-ready AI orchestration using Node.js, LangChain, and type-safe Zod. Bridge the gap between web development and AI Engineering without switching your stack. Start your journey with the Web AI Series and build the next generation of intelligent apps.

I wanted to understand how ChatGPT and other large language models (LLMs) really work, so I read a lot of books, watched YouTube videos, asked hundreds of questions, and wrote it all down. This book is the result. If you want to understand how large language models like ChatGPT actually work, from tokens and vectors to transformers and training, this book will explain it in a clear, approachable way.

Unlock the potential of AI with "Introduction to Deep Learning," a bilingual guide in English and Myanmar. Dive into neural networks, CNNs, RNNs, and AI trends with hands-on Python code and real-world case studies. Perfect for learners at all levels, this book makes mastering deep learning accessible and engaging.

This book is designed to give you a comprehensive view of cloud computing including Big Data and Machine Learning. Many resources will be used including interactive labs on Cloud Platforms (Google, AWS, Azure) using Python. This is a project-based book with extensive hands-on assignments. Based on material taught at leading universities.

Unlock the transformative power of AI in pair programming with P-AI-R Programming. Discover how tools like GitHub Copilot and ChatGPT can revolutionize your development workflow. This guide is your gateway to enhanced productivity, creativity, and team efficiency. A new era of software development awaits!

Stop writing YAML and boilerplate! This book is your guide to the next evolution of DevOps, teaching you to partner with AI to generate production-ready infrastructure, pipelines, and automation with simple English prompts. Stop being just a builder and become a director of systems, amplifying your expertise and shipping better software, faster.

Aprende los conceptos básicos del Machine Learning y avanza poco a poco con teoría y divertidos ejercicios prácticos en Python a niveles intermedios y avanzados hasta llegar al Deep Learning.Tu camino para convertirte en un Científico de Datos comienza aquí

Imagine a group of LEGO superheroes facing missions that require planning in layers. One hero scouts the terrain. Another maps the risks. A third builds the route. All these steps connect. None of them works alone. This is Nested Learning in action.Google uses this layered thinking to help AI break problems into parts, solve those parts in sequence, and combine them into stronger results