Grokking Bayes (MEAP v4) by Quan Nguyen (.ePUB)+
File Size: 20.6 MB
Grokking Bayes (MEAP v4) by Quan Nguyen
Requirements: .ePUB, .PDF reader, 20.6 MB
Overview: A complete guide to thinking in Bayes, full of fun illustrations and friendly introductions. Grokking Bayes teaches Bayesianism through clear explanations, rich illustrations, and relatable examples. You’ll first build an intuition, and then translate that intuition into working code with Python tools like the PyMC library and ArviZ package. Along the way, you’ll explore how Bayesian ideas connect to modern AI, from uncertainty-aware deep learning to LLM applications. Throughout, the book focuses on the skills for making better decisions: you’ll go from inference, to Bayesian decision theory, and even experimental design. Whether you’re a data scientist, AI practitioner, or curious learner, Grokking Bayes will give you the tools to make smarter decisions without needing to rely on long-run frequencies or reams of data without drowning you in probability theory and abstract math. All you need to start grokking Bayes is high school math and the basics of Python programming.
Genre: Non-Fiction > Tech & Devices
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