Machine Learning

PyTorch Deep Dive is a practical guide to mastering modern deep learning with PyTorch. From core concepts to advanced topics like transformers, diffusion models, and production deployment, it combines clear explanations, hands-on examples, and real-world best practices to help you build and scale AI applications with confidence.

Make your Python AI code up to 100× faster using NumPy vectorization, Numba, parallel execution, and GPU acceleration. Learn through practical benchmarks and real-world optimization examples.

Run powerful AI models directly in the browser with no servers and no cloud dependencies. LiteRT.js teaches you how to build fast, private, and production-ready machine learning applications using WebAssembly, WebGPU, and WebNN, with practical examples and performance-focused techniques throughout.

Move beyond the API. Dismantle the AI black box and build generative engines from scratch with pure Python and NumPy. Master the profound geometric principles and applied mathematics driving LLMs and Transformers. Transform from a mere consumer into an elite AI innovator by writing the core mathematical architecture yourself—no shortcuts, no frameworks, just pure engineering excellence.

Anyone can run INT4 and read off the accuracy drop. This book explains why that number is what it is — building every quantization method from scratch, breaking it on purpose, and measuring the result. Quantization, from the bits up.

This practical guide shows you how to build production-ready speech recognition applications from the ground up. Learn how to use Voice Activity Detection, choose the right ASR models, build real-time inference pipelines, and deploy scalable systems with hands-on examples and modern open-source tools.

Master DeepSeek V3 — one of the most capable AI models of its time.This practical guide teaches students, researchers, and professionals how to use DeepSeek V3 for learning, research, coding, content creation, automation, and productivity — with strong focus on prompt engineering and responsible AI usage.

Unlock the power of Llama 4 — the next generation of open-weight multimodal AI.This practical guide shows students, researchers, and professionals how to harness advanced AI tools for learning, research, teaching, and productivity. From generating study notes and research ideas to building educational chatbots and optimizing workflows, discover how Llama 4 can transform the way you work and learn

How does code actually run under the hood? Stop guessing and master the hidden physics of execution. Learn how Python and Java truly manage memory, layout data structures, and drive high-performance algorithms.

When you buy this book, you will get access to the Companion Resource Library, which includes:High-resolution versions of all figures featured in this volume.Curated educational videos from leading universities, research organizations, and trusted science communicators that complement the topics covered in this book.Additional companion resources and updates as they become available.

A practical, code-first guide to physics-informed machine learning for scientists and engineers. You'll build a working Physics-Informed Neural Network from scratch in PyTorch, solve a real differential equation, and verify it against the exact solution — staying honest about both the power and the limits of the method.

Turn data into intelligent decisions. Discover how machine learning works and learn to build predictive models using Python and Scikit-Learn. From data preprocessing and visualization to classification, regression, clustering, and model evaluation, this practical guide helps you develop real-world machine learning skills.

Artificial Intelligence is reshaping the future. Are you ready to build it? Discover the complete journey from neural networks and deep learning fundamentals to generative AI, large language models, computer vision, and reinforcement learning—all with Python. Learn how to create intelligent systems, develop real-world projects, deploy production-ready models, and explore the technologies driving the next generation of innovation. Deep Learning with Python is your practical guide to mastering modern AI.

Unlock the power of data with Python. Learn how to clean, analyze, visualize, and model real-world data using NumPy, Pandas, SQL, and machine learning techniques.