Think Bayes: Bayesian Statistics in Python 2nd Edition by Allen B. Downey (PDF)

Description

If you know how to program, you’re ready to tackle Bayesian statistics. With this book, you’ll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer and you’ll begin to apply these techniques to real-world problems.Bayesian statistical methods are becoming more common and more important, but there aren’t many resources available to help beginners. Based on undergraduate classes taught by author Allen B. Downey, this book’s computational approach helps you get a solid start.Use your programming skills to learn and understand Bayesian statisticsWork with problems involving estimation, prediction, decision analysis, evidence, and Bayesian hypothesis testingGet started with simple examples, using coins, dice, and a bowl of cookiesLearn computational methods for solving real-world problems

User’s Reviews

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐I am doing edx Micromasters course in Probability. It is very rigorous. This book is really good at building your intuition faster and apply it to world around you. And, use chatgpt along with it.

⭐If you have a basic understanding of Bayes this book will help deepen your intuition. Take time work the examples and problems ( solutions are included) and circle back to the theory. It will help you bridge theory and practice

⭐If you are looking to learn programing, you will not. If you are looking to learn some statistics, you will not learn that either.

⭐With GitHub, you can read through easily.The description is very concise, you don’t need high level mathematical knowledge. I satisfied as the first book for learning bayes with python.I read this for understanding MCMC with python. Of course, I thought mastering R is the best way to understand Bayes or MCMC, but it’s troublesome for me. If I feel the limit with python, I’ll try to learn R.I think it’s a good book for beginners.

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