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Math: Your new superpower

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Math drives everything from website layout to AI. Developers who know your way around statistics, probability, geometry, and other mathematical foundations can take on a wider variety of problems with confidence, especially in the math-y world of AI. This collection of books brings mathematics to life, with a special focus on applications in programming, data science, and web dev.

New MEAP! Quantization and Fast Inference

A practitioner’s guide to efficient AI

Today's AI models demand a lot of memory, compute, and server horsepower--which quickly translates into cost. Quantization and Fast Inference show you how you can optimize AI models without architectural redesigns or task-specific compression. It reveals practical techniques for quantization, systematically reducing numerical precision to achieve faster inference, lower memory usage, and cheaper deployment--all with minimal accuracy loss.

From quantization fundamentals to runtime packaging, the book gives you a complete and comprehensive

overview of the full quantization pipeline. It starts by deriving quantization mapping from first principles, and then builds your knowledge and skill through techniques for production-tested PTQ and QAT workflows and a fully-compressed deployment. You'll learn to apply post-training quantization to production models, run quantization-aware training using fake quantization and straight-through estimators, and handle subtle tradeoffs like activation outliers in LLMs, KV cache pressure, and sub-8-bit formats like NF4 and FP4. [Read more]

4 chapters of this new MEAP are available now with more to follow soon!

SAVE HALF until May 19

eBook $47.99$23.99

print $59.99$29.99

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Now in print! Deep Learning with R, Third Edition

From first principles to generative AI

For R programmers, the R interface to the Keras deep learning library is a powerful head start on building deep learning models without switching to Python. It provides a simple, consistent API that makes deep learning accessible and simplifies the process of building neural networks, even if you have no prior experience in advanced machine learning.

Deep Learning with R, Third Edition is a practical, concept-driven introduction to modern deep learning for R users. With a focus on clarity, intuition, and hands-on

experimentation, it guides you from the foundations of deep learning to advanced architectures such as transformers and LLMs. This book treats R as a fully capable environment for modern deep learning, showing how contemporary models and workflows can be developed end to end without compromise. [Read more]

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eBook $63.99$31.99

print $79.99$39.99

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Free eBook! Essential GraphRAG

We’ve teamed up with Neo4J to give away this free eBook

If you don’t ground your LLM, there’s a high likelihood that your GenAI app will hallucinate. Without the right context, your AI will likely provide wrong or even nonsensical results.

There’s a fix: the tag team of RAG and knowledge graphs. If you connect your data using a knowledge graph, you supply the context your LLM needs to give more nuanced, accurate responses. You can even combine structured and unstructured data.

We’ve teamed up with Neo4J to give away copies of Essential GraphRAG, a comprehensive guide on how to build a GraphRAG system from scratch. You’ll learn basic RAG concepts, advanced techniques,

Neo4j Sponsored_Essential GraphRAG_Front Cover_page-0001

and how to evaluate accuracy for your GenAI application.

Get your free copy from Neo4J!

Spotlight! Grokking Bayes

Bayesian statistics is a framework for reasoning under uncertainty. It lets you incorporate prior knowledge, rigorously quantify uncertainty, and directly answer practical questions like: “what’s the probability that this new treatment improves outcomes by at least 10%?” Bayesian methods are more intuitive, flexible, and directly actionable, which makes them invaluable for data science, AI, experiment design, and beyond.

Grokking Bayes introduces Bayesian statistics as a way of thinking and also a practical set of tools for making

better decisions and predictions. Simple explanations, annotated visuals, and hands-on examples like tea vs. coffee preferences, predicting house prices, and testing medical treatments makes Bayesian statistics approachable–even if math isn’t your first language. [Read more]

10 chapters of this new MEAP are available now with more to follow soon!

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Grokking Statistics

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]

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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]

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Math for Web Design

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]

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Math for Programmers

3D graphics, machine learning, and simulations with Python

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]

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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]

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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]

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Investing for Programmers

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]

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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]

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Geometry for Programmers

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]

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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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Math: Your new superpower! Save up to 45%

Save up to 45% this week!

New MEAP! Quantization and Fast Inference

4 chapters of this new MEAP are available now with more to follow soon!

Now in print! Deep Learning with R, Third Edition

Spotlight! Grokking Bayes

10 chapters of this new MEAP are available now with more to follow soon!

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