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New MEAP! Quantization and Fast InferenceA practitioner’s guide to efficient AI
Now in print! Deep Learning with R, Third EditionFrom first principles to generative AI
Spotlight! Grokking Bayes
A friendly guide for beginners
Master probability, distributions, and hypothesis testing--and actually enjoy it! Author Thomas Nield delivers explanations, clever graphics, and everyday examples that make statistics approachable, memorable, and fun. You’ll learn the basics of statistics from the ground up as you explore tornado data from NOAA, model the perfect cup of coffee, and accurately test whether a potato chip bag is the size it claims. [Read more] All chapters of this MEAP are available now!
Grokking AI Algorithms, Second Edition How AI solves complex problems
AI algorithms are the backbone of search and optimization problems, deep learning, reinforcement learning, and, of course, generative AI. But knowing which algorithm to use—and why—is often harder than writing the code itself. This book illuminates the algorithms behind modern generative AI with clear explanations, step-by-step code examples, and beautifully simple illustrations. [Read more]
Precision layout and animation
What does math have to do with building beautiful web sites and apps? Much more than you might think! From layout calculations and animations, to color blending and responsive design, math is threaded through the craft of creating frontends. This book bridges the gap between mathematical theory and its practical applications for web development. [Read more]
All chapters of this MEAP are available now!
Skip the mathematical jargon: This one-of-a-kind book uses Python to teach the math you need to build games, simulations, 3D graphics, and machine learning algorithms. Discover how algebra and calculus come alive when you see them in code! [Read more]
Grokking Algorithms, Second Edition
Over 100,000 copies sold! Master the most widely used algorithms and be fully prepared when you’re asked about them at your next job interview. With beautifully simple explanations, over 400 fun illustrations, and dozens of relevant examples, you’ll actually enjoy learning about algorithms with this fun and friendly guide! [Read more]
Statistics Every Programmer Needs
Whether you’re analyzing application performance metrics, creating relevant dashboards and reports, or immersing yourself in a numbers-heavy coding project, every programmer needs to know how to turn raw data into actionable insight. Statistics and quantitative analysis are the essential tools every programmer needs to clarify uncertainty, optimize outcomes, and make informed choices. [Read more]
If you know Python, you're ready to become your own financial analyst. This book shows how to apply your programming expertise to stock analysis, price forecasting, and strategic investing. Using popular open-source Python libraries, you'll perform the kind of sophisticated analysis that’s normally limited to expensive software and financial professionals. [Read more]
Math and Architectures of Deep Learning
Bridge the gap between DL theory and practice! Each chapter of this release explores a new fundamental DL concept or architectural pattern, explaining the underpinning mathematics and demonstrating how they work in practice with well-annotated Python code. [Read more]
Master the math behind CAD, game engines, GIS, and more! This hands-on book teaches you the geometry used to create simulations, 3D prints, and other models of the physical world. [Read more]
Causal Inference for Data Science
When you know the cause of an event, you can affect its outcome. This accessible introduction to causal inference shows you how to determine causality and estimate effects using statistics and machine learning. [Read more]
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