Kick off your book project in 3 hours! Live workshop on Zoom. You’ll leave with a real book project, progress on your first chapter, and a clear plan to keep going. Saturday, June 6, 2026. Learn more…
Bauen Sie Ihr erstes LLM Schritt für Schritt. Keine Installation, nur Google Colab. Verstehen Sie, warum alles funktioniert, statt nur Code auszuführen.
Постройте свою первую LLM шаг за шагом. Никакой установки, только Google Colab. Поймите, почему всё работает, а не просто запустите код.
Discover how to become a Data Scientist at your own pace with updated content and real-world examples. From data analysis to prediction algorithms with machine learning. This Third Edition includes new chapters on Generative AI, Ethics, and modern Machine Learning workflows.
LLM’leri sıfırdan, adım adım inşa edin. Kodu sadece çalıştırmakla kalmayın; neden çalıştığını da anlayın. Kurulum yok—Colab’da doğrudan ilerleyin.
Turn data into decisions. Data Visualization Using Tableau for Data Scientists shows how interactive visuals, analytics, and storytelling come together to make complex data understandable, actionable, and impactful.
Если вы считаете калории, если вам надоело однообразие в еде, если вы ищете варианты питаться вкусно и полезно, этот сборник рецептов - то, что нужно.
The future of AI isn't just about chatbots - it's about agents that think, decide, and act. Learn to build them.

This book helps quiet professionals speak up without forcing a louder personality. You’ll learn practical ways to stay calm, think clearly, and say what you mean in meetings, discussions, and tense moments at work.
Learn how to build AI agents that actually survive production — with battle-tested patterns for cost control, reliability, and scale.
Stop debating code style. Start engineering code. Every developer brings personal preferences. Every AI tool channels different training examples. The result? Inconsistent codebases, endless code reviews, and technical debt that compounds silently. Java Backend Coding Technology introduces a radical idea: reduce the space of valid choices until there's essentially one good way to do most things. Not through rigid frameworks, but through a small set of patterns that make structure predictable, refactoring mechanical, and business logic visible. The code you write, your teammate writes, and your AI assistant generates will look the same -- because the patterns leave no room for subjective variation.
This book is a follow-up to my prior books: Understanding Agile Values and Principles (available on InfoQ.com for free) and Adopting Agile Values and Principles.You can get this book for free but if you pay the suggested price and I can verify that on Leanpub, I will offer you a free, 1-hour coaching/training session using your chosen online collaboration tool (e.g., zoo, Microsft Teams).
Great execution doesn't create scale. Category creation does.Designing for Scale is for Product Managers, founders and builders who are done optimising incremental gains and ready to design systems that compound. Drawing from real-world experience across emerging and mature markets, this book breaks down how products move from 0 → 1 and then from 1 → 100M by fusing product, business model and distribution.This is not a playbook for fast followers. It is for people who want to define what comes next.
Blockchain in 2025 is no longer about hype. It’s about execution, regulation, and real business value. This report explains where blockchain is delivering today and how leaders should act next.
Once movement begins, control fades.The River examines momentum that cannot be stopped and reveals why effort often arrives too late. It is not about creating outcomes, but about navigating what is already moving.Book II of The Law of Selection trilogy.