Beginners Yoga House

Build a DeepSeek Model (From Scratch)

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When DeepSeek started making waves in January 2025, it sounded too good to be true. How could a generative AI model get such incredible performance with such low training and operation costs? In this guide, you'll find out exactly how DeepSeek works by recreating a laptop-scale version of this cutting-edge model yourself! [Read more]

5 chapters of this MEAP are available now, with more to follow soon!

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Build an AI Agent (From Scratch)

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LLM-powered AI agents are the next leap in applied AI, capable of reasoning and collaboration to achieve even complex, multi-step goals. Using new protocols like MCP and A2A, agents can use software tools, retrieve relevant knowledge, and adapt to feedback. This book guides you step by step in creating an AI agent from the ground up, with clear, detailed explanations you can follow to build your own custom assistants! [Read more]

7 chapters of this MEAP are available now, with more to follow soon!

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Build a Reasoning Model (From Scratch)

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By Sebastian Raschka

LLM reasoning models have the power to tackle truly challenging problems that require finding the right path through multiple steps. This book demystifies how these complex models work with a simple philosophy: the best way to learn how something works is to build it yourself! You'll begin with a pre-trained LLM, adding and improving its reasoning capabilities in ways you can see, test, and understand. [Read more]

7 chapters of this MEAP are available now, with more to follow soon!

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Build Financial Software with Generative AI (From Scratch)

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The software used by banks, trading firms, and other financial services has special requirements at every level, from securing the UI to making sure backend services comply with a host of regulations. This book shows you how to deliver full stack financial services software—and how generative AI can make you even more productive. [Read more]

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eBook $54.99$32.99

Grokking Algorithms, Second Edition

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More From Scratch books

Just Grok it!

#1 bestseller! 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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eBook $54.99$32.99

A friendly guide for beginners

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Grokking Bayes

This book 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]

6 chapters of this MEAP are available now, with more to follow soon!

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eBook $55.99$33.59

print $69.99$41.99

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Grokking Statistics

In the real world, most decisions involve uncertainty. Statistical analysis reduces uncertainty by interpreting data, from setting product demand forecasts to predicting customer behaviors. With this guide, you'll build a strong foundation in statistical analysis by working through engaging mini projects that put each skill you learn into practice immediately. [Read more]

5 chapters of this MEAP are available now, with more to follow soon!

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Grokking Machine Learning, Second Edition

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Build an intuitive understanding of machine learning from the ground up. Each chapter introduces a core ML concept, such as regression and tree-based methods, data preprocessing, feature engineering, neural networks, and more. This totally-revised second edition also illuminates modern AI, including transformers, LLMs, and image generation models. [Read more]

6 chapters of this MEAP are available now, with more to follow soon!

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Grokking AI Algorithms, Second Edition

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This book introduces the most important AI algorithms using relatable illustrations, interesting examples, and thought-provoking exercises. Written in simple language and with lots of visual references and hands-on code examples, it helps you build a natural intuition into how intelligent systems learn, plan, and adapt. This second edition has been thoroughly revised, with new chapters on large language models, image generation, and more. [Read more]

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