Grokking Bayes (MEAP v5) by Quan Nguyen (.ePUB)+
File Size: 24.2 MB
Grokking Bayes (MEAP v5) by Quan Nguyen
Requirements: .ePUB, .PDF reader, 24.2 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. You’ll see Bayesian statistics in action in many areas of Data Science, Machine Learning, and AI, including recommendation systems, medical diagnostics, and even large language models (LLMs) like ChatGPT. In fact, anytime you’re working with small datasets, noisy signals, or decision-making under risk, Bayesian methods give you a principled framework for incorporating prior knowledge and making decisions that reflect both your data and your uncertainty. All you need to start grokking Bayes is high school math and the basics of Python programming.
Genre: Non-Fiction > Tech & Devices
Free Download links: