Download WordPress Themes, Happy Birthday Wishes
Home » Mathematics » Probabilistic Programming and Bayesian Methods for Hackers

Probabilistic Programming and Bayesian Methods for Hackers

  • Category: Mathematics
  • Author: Cameron Davidson-Pilon
  • Pages: 256 pages
  • File type: PDF Files

Read and download free eBook intituled Probabilistic Programming and Bayesian Methods for Hackers in format PDF Files – 256 pages created by Cameron Davidson-Pilon.

Master Bayesian Inference through Practical Examples and Computation – Without Advanced Mathematical Analysis

Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a strong mathematical background. Now, though, Cameron Davidson-Pilon introduces Bayesian inference from a computational perspective, bridging theory to practice–freeing you to get results using computing power.

This book illuminates Bayesian inference through probabilistic programming with the powerful PyMC language and the closely related Python tools NumPy, SciPy, and Matplotlib. Using this approach, you can reach effective solutions in small increments, without extensive mathematical intervention.

Read and Download Links:

Probabilistic Programming and Bayesian Methods for Hackers

READ  Statistical Spectral Analysis: A Non-Probabilistic Theory

Leave a Reply

Your email address will not be published. Required fields are marked *

*

x

Check Also

Abstract Algebra A Study Guide for Beginners 2nd Edition

Read and download free Book intituled Abstract Algebra A Study Guide for Beginners 2nd Edition in format PDF written by John A. Beach.