Books

"If you intend to use machine learning to solve business problems at scale, I'm delighted you got your hands on this book." —Cassie Kozyrkov, Chief Decision Scientist at Google "Foundational work about the reality of building machine learning models in production." —Karolis Urbonas, Head of Machine Learning and Science at Amazon

通过这本开创性的人工智能驱动应用架构书籍，解锁AI在应用程序中的强大潜能。探索实用的模式和原则，学习如何构建智能化、自适应且以用户为中心的软件系统，充分发挥大语言模型和人工智能组件的潜力。

本書では、AI駆動型アプリケーションアーキテクチャに関する画期的な知見を通じて、アプリケーションにAIの力を解き放つ方法をご紹介します。大規模言語モデルやAIコンポーネントの可能性を活用した、インテリジェントで適応性の高い、ユーザー中心型のソフトウェアシステムを構築するための実践的なパターンと原則を解説していきます。

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.

The essentials of making predictions using supervised regression and classification for tabular data. Tech stack: python, pandas, scikit-learn, CatBoost, LightGBM, XGBoost

Throughout the book, we use a car-search platform as a unifying example. From ingestingdata about car listings to enriching, it with analytics and providing real-time search results, thisplatform showcases the challenges and opportunities of modern data platforms. By followingits journey, you will gain actionable insights that can be applied to a wide range of domains.Building the software platforms is not just about technology; it’s about solving real-worldproblems with creativity within the given guardrails both financial or engineering. This bookwill be guiding you through every phase of design, implementation, and evolution. Let’s buildthe future of data platforms together.

Most AI systems fail in production. They chain prompts together and call it "agentic". They collapse under real-world pressure. The gap isn't the technology – it's missing infrastructure. This book bridges that gap. Learn the architecture patterns and infrastructure to build autonomous AI systems that work at scale. Master what distinguishes real agents from chatbots with tools. Deploy with confidence. Stop building demos. Start shipping production agentic AI.

이 책은 면접 준비, 프로젝트 진행, 또는 순수한 지적 호기심을 위해 대규모 언어 모델의 내부 구조와 작동 원리를 이해하고 싶은 모든 분들을 위한, 그림으로 설명하는 핵심 가이드입니다.

Learn how to vibe code video games with Python, pygame and AI

Dive into the world of generative AI with "The ChatGPT Revolution" ebook. Understand the impact of ChatGPT, explore the vast potential of Large Language Models, and anticipate a multimodal AI-driven healthcare future. A must-read for those keen on the next medical revolution.

You’ve facilitated your 50th retrospective. The same issues surface. The same action items are created. Nothing changes. Features marked "done" sit in queues for months. You’re doing your job perfectly—and it’s making no difference.What if the problem isn’t your facilitation skills? What if the Scrum Master role itself is trapped in an outdated model?

This book brings the fundamentals of Machine Learning to you, using tools and techniques used to solve real-world problems in Computer Vision, Natural Language Processing, and Time Series analysis. The skills taught in this book will lay the foundation for you to advance your journey to Machine Learning Mastery!

Machine learning doesn’t fail in theory—it fails in production. This book shows you how to build PyTorch systems that remain robust when data shifts, assumptions break, and reliability matters.

Major capital projects keep missing the mark—over budget, behind schedule and under-delivering. Why? Because we’re still using delivery models designed for a different era. Rethinking Capital Project Delivery offers a bold, practical roadmap for fixing what’s broken. It introduces a new approach built on adaptive planning, intelligent systems and transparent governance. Instead of managing complexity with more layers, it shows how agentic AI and modular strategies can simplify, accelerate, and de-risk major works. This book is for executives, project leaders, and policymakers ready to move beyond outdated practices. If you know the system isn’t working—and you want to be part of the solution—this is your guide.

An introduction to Common Lisp and many useful example programs. Use LLMs, as well as classic symbolic AI techniques.