Books

Most books about ChatGPT explain the magic. This one shows you the math. Inside Large Language Models, Volume I takes a curious beginner from "what is an LLM" to a complete, trained GPT, with nothing more than high-school algebra, a working laptop, and a willingness to read carefully. Every formula is walked through by hand. Every line of code comes with a plain-English explanation. By the end you will have built, trained, and run your own transformer from scratch, and you will know exactly what is happening inside. No PhD or Data Science required. No prior machine learning needed. Just curiosity and a calculator.

Bridge the gap from C# basics to professional, high-performance AI systems. Master advanced polymorphism, Generics, and functional programming patterns. Learn to architect resilient AI pipelines and manage unmanaged GPU memory. Design and build an enterprise-grade, plugin-based chatbot application from scratch.

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 Black Box of Artificial Intelligence. 🧠✨ Stop simply calling API functions and start building the future. Volume 11 is a code-first masterclass that takes you from the mathematical roots of a single neuron to the cutting edge of Generative AI. Learn to build neural networks from scratch in NumPy before mastering PyTorch and Transformers. Don't just use AI—understand the "why" behind it.

Mastering Advanced Time Series Forecasting in Python is the definitive sequel to the #1 forecasting bestseller. Designed for practitioners who want to go beyond ARIMA and basic ML, this book takes you deep into probabilistic forecasting, hierarchical coherence, and cutting-edge foundation models—backed by production-ready Python code. Learn how to assess forecastability, build scalable pipelines, quantify uncertainty, and deploy systems that deliver real business impact. Written by a globally recognized expert whose methods power multimillion-dollar decisions, this is the practical, honest, and advanced guide every data scientist, ML engineer, and quantitative professional needs to master modern forecasting.

Bridge AI and science with this hands-on guide. Whether you're a researcher learning ML or an engineer entering scientific applications, build real systems across chemistry, biology, physics & climate. Master Transformers, Diffusion Models & GNNs for scientific discovery. 500+ pages, 50+ Colab notebooks. Design molecules, predict proteins, accelerate climate models—all hands-on, zero setup required.

A model that wins on MAPE can lose money on the shelf. A 15% accuracy gain can hide a 12% bias. An interval that looks tight can be wrong a third of the time.Forecast metrics are decision instruments, not neutral truth detectors — and most teams are still choosing them by habit. This book shows where MAE, MAPE, sMAPE, WAPE, MASE, RMSSE, CRPS, pinball loss, energy scores, bias measures and cost-based metrics help, and where they quietly mislead.Twelve chapters take you from elicitation and baselines through intermittent demand, probabilistic and hierarchical scoring, and the accuracy–utility gap, to a production evaluation system with monitoring, drift detection, alerting and governance. Every metric arrives with its assumptions, every criticism carries a remedy, and a retrospective Walmart M5 case study runs throughout, with Python listings and reproducibility checks.For demand planners, forecasting data scientists, ML engineers and analytics leads who need evaluation choices they can defend. Measure what matters.

Turn uncertainty into a competitive advantage with probabilistic forecasting and Conformal Prediction.

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.

*Neural Nexus: Building a Multi-Billion Dollar Company with Brain-Computer Interfaces* is the ultimate guide for entrepreneurs, innovators, and visionaries who want to unlock the vast potential of Brain-Computer Interface (BCI) technology. This book offers a deep dive into the cutting-edge world of BCIs, exploring not only the technical advancements but also the business strategies that can transform a groundbreaking idea into a global industry leader.

Unlock the secrets to building a multi-billion-dollar company in the groundbreaking field of CRISPR gene-editing technology. *CRISPR Revolution: Building a Multi-Billion Dollar Company from Ground Zero* is the ultimate guide for entrepreneurs, scientists, and investors looking to capitalize on the future of genetic modification. Learn how to navigate the complexities of gene-editing, from understanding the science behind CRISPR to scaling your business, securing funding, and overcoming regulatory challenges. With actionable insights, proven strategies, and expert advice, this book empowers you to transform cutting-edge science into a thriving, profitable business. Whether you're aiming to cure diseases, enhance human longevity, or revolutionize agriculture, this book provides the roadmap to succeed in the rapidly evolving world of CRISPR. Take the first step toward creating a global impact and financial success in the biotech industry. Your journey to success starts here.

A practical guide to fine-tuning Large Language Models (LLMs), offering both a high-level overview and detailed instructions on how to train these models for specific tasks.Get the paperback version here. Get the Kindle version here.

This is the Elite Insights for 2026 edition.Never know which blockchain or crypto project to focus on or invest in? With so many projects out there, where do you start?! This guide helps you to make an educated decision, not a decision on a whim because someone said: "Hey, you gotta get in to this cool new crypto, it's pumping!" This book covers many blockchains both technically and comparatively, describing Bitcoin, Ethereum, Kaspa, Kadena, Algorand, Saito, Pulsechain, Solana, Sei, Bittensor and Nano. This book also asks the tough questions unveiling interesting insights:Does the Blockchain Trilemma really exist? Is the Trilemma a technological problem or an economic problem?Is there confusion on the definition of decentralisation? Is it better to focus on openness and non-excludability?Are the incentive mechanisms in many blockchains broken? Should all budget be focused on security, what about scalability and decentralisation?What is fee recycling attack? Which blockchain solves it? This is not just a guide; it's a roadmap for those seeking a deeper understanding of the technological nuances that differentiate blockchains.

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.