Book + Platform + Community

Machine Learning: Manual for the Next Generation

The book that doesn't expire. Live code, updated benchmarks, and a community of engineers who think — not just prompt.

30
Chapters
50+
Code Examples
100+
Sources Cited
2026
Updated Weekly

The Book

30 chapters. 200+ pages. Every claim sourced. Every code example runs.

Machine Learning: Manual for the Next Generation — book cover

What's Inside

  • Part I — The Illusion Era: why 90% of what you hear about AI is wrong
  • Part II — The Architect's Toolkit: features, models, interpretability
  • Part III — The 2026 Stack: Python, PyTorch, MLOps, deployment
  • Part IV — Math & Career: what you actually need to get hired
  • Part V — The Next Decade: where ML goes from here

Available on

Amazon Kindle

Buy Now

English & Russian editions

Book Owner Benefits

Scan QR codes inside the book to unlock companion resources.

💻

Runnable Code

Every code example opens in Google Colab. Click and run — zero setup.

📊

Live Data

Benchmarks, model rankings, salary data — updated weekly.

🧠

Exercises

Interactive challenges that extend each chapter.

👥

Community

Discord with channels per chapter. Learn together.

Chapter Resources

Code, links, and exercises for book owners. Scan the QR code in your chapter.

01

The 90-Day Obsolescence Cycle

Why everything you learn about AI models expires in 90 days — and what to learn instead.

Live model timeline Exercise
02

Intelligence or Simulation?

How LLMs actually work. Pattern matching vs. reasoning. The LeCun bet.

Interactive test Paper links
03

The Agreeable AI Problem

RLHF, sycophancy, and why your AI assistant says "great idea" to bad ideas.

Sycophancy test Research papers
04

The Hallucination Economy

$67.4B in losses. Detection methods. Build your own hallucination detector.

Python pipeline Colab notebook Live benchmarks
05

The Prompt Engineering Illusion

Coming soon.

Coming Soon
06

When AI Writes Your Thesis

Coming soon.

Coming Soon

Community

Engineers who think, not just prompt.

💬

Discord

Channels per chapter. Share projects, ask questions, find collaborators.

Join Discord
📨

Weekly Digest

What changed in ML this week. New models, benchmarks, jobs — curated, no noise.

Subscribe
🏆

Leaderboard

Complete exercises, build projects, earn recognition. Top contributors get featured.

Launching Soon

Courses

Go deeper. The book gives you foundations — courses give you mastery.

ML Foundations

20 hours. From zero to understanding models, data, and deployment.

Coming Q2 2026

Feature Engineering Masterclass

30 hours. The skill that separates amateurs from professionals.

Coming Q3 2026

AI Career Accelerator

Resume, portfolio, mock interviews. Land your first ML role.

Coming Q3 2026

Get Early Access

Join the waitlist. Be first to access new chapters, code, and course launches. No spam — only signal.

Free forever. Unsubscribe anytime.

About the Author

Ilya Emelianov — author of "AI, Cognitive Inequality, and the Illusion of Progress" (Book I) and founder of evo-study.com, an education platform helping students worldwide enter top American schools and universities.

Technical consultant: Nikita, 17, olympiad programmer on the Yandex ML track.