Home » Others » Think Bayes: Bayesian Statistics in Python

Think Bayes: Bayesian Statistics in Python

Think Bayes: Bayesian Statistics in Python

If you know how to program with Python and also know a little about probability, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical notation, and use discrete probability distributions instead of 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 not many resources are available to help beginners. Based on undergraduate classes taught by author Allen Downey, this book's computational approach helps you get a solid start.

Pages : 210 pages
File type : pdf
Downloads: 19
Submitted On: 2020-08-30
License: CC BY-NC 4.0
Author(s): Allen B. Downey

Take advantage of this course called Think Bayes: Bayesian Statistics in Python to improve your Others skills and better understand Statistics.

This course is adapted to your level as well as all Statistics pdf courses to better enrich your knowledge.

All you need to do is download the training document, open it and start learning Statistics for free.

This tutorial has been prepared for the beginners to help them understand basic Statistics Others. After completing this tutorial you will find yourself at a moderate level of expertise in Statistics from where you can take yourself to next levels.

This tutorial is designed for Statistics students who are completely unaware of Statistics concepts but they have basic understanding on Others training.

Download

Tutorials in the same categorie :