Grokking Bayes (MEAP v3) by Quan Nguyen (.ePUB)+
File Size: 17.8 MB
Grokking Bayes (MEAP v3) by Quan Nguyen
Requirements: .ePUB, .PDF reader, 17.8 MB
Overview: A complete guide to thinking in Bayes, full of fun illustrations and friendly introductions. Grokking Bayes introduces Bayesian statistics as a way of thinking and also a practical set of tools for making better decisions and predictions. Simple explanations, annotated visuals, and hands-on examples like tea vs. coffee preferences, predicting house prices, and testing medical treatments makes Bayesian statistics approachable–even if math isn’t your first language. 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. 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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