This book explores the breakthrough algorithms that power modern AI—including Bayes’ prior and posterior beliefs, Fisher’s estimation and likelihood, Shannon’s information gain, and Breiman’s algorithmic modeling. With clarity and rigor, statistics expert Gary Sutton unpacks each concept and explains its practical relevance. [Read more]

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

Build a Reasoning Model (From Scratch)

By Sebastian Raschka

Acclaimed ML research engineer Sebastian Raschka takes you inside the black box of reasoning-enhanced LLMs. You’ll start with a compact, pre-trained base model that runs on consumer hardware, then upgrade it step-by-step to tackle ever-more difficult problems and scenarios. [Read more]

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

AI guru Ilya Sutskever made the bold claim that most of what you need to know about modern AI is captured in 30 seminal research papers on deep learning. What did Ilya see? Read through this guide and you’ll uncover the breakthroughs, ideas, and mental models that shaped his vision and much more, all clearly explained and interpreted by veteran author and teacher Richard Heimann. [Read more] 

Constructive code reviews

Transform code reviews into the positive, productive experiences they’re meant to be! Whether it’s your code under the microscope or you’re the one giving the feedback, this sensible guide will help you avoid the tense debates, fruitless nitpicking, and unnecessary bottlenecks you’ve come to expect from code reviews. [Read more]

You know that PostgreSQL is a fast, reliable, SQL compliant RDBMS. You may not know that it’s also great for geospatial systems, time series, full-text search, JSON documents, AI vector embeddings, and many other specialty database functions. For almost any data task you can imagine, you can use Postgres. This book covers recipes for using Postgres in dozens of applications normally reserved for single-purpose databases. [Read more]