Description
Book Synopsis: 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 statistics
- Work with problems involving estimation, prediction, decision analysis, evidence, and Bayesian hypothesis testing
- Get started with simple examples, using coins, dice, and a bowl of cookies
- Learn computational methods for solving real-world problems
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Details
If you're ready to take your programming skills to the next level and dive into the world of Bayesian statistics, then Think Bayes: Bayesian Statistics in Python is the essential resource you've been searching for. This groundbreaking book takes a computational approach, allowing you to solve statistical problems using Python code, rather than getting bogged down in complex mathematical formulas.
With Think Bayes, you'll be able to learn and understand Bayesian statistics in a way that is both practical and accessible. By using discrete probability distributions instead of continuous mathematics, you'll quickly grasp the core concepts of Bayesian statistics and start applying them to real-world problems.
What sets this book apart is its emphasis on helping beginners. If you're new to Bayesian statistics, you'll appreciate the clear explanations and step-by-step examples that guide you through the learning process. Based on his experience teaching undergraduate classes, author Allen B. Downey has created a comprehensive resource that is perfect for self-study or as a supplemental textbook.
Don't miss out on the opportunity to master Bayesian statistics and unlock a world of possibilities. Get your copy of Think Bayes: Bayesian Statistics in Python and start solving real-world problems with confidence.
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