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Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference

  • Category: Computer
  • Author: Cameron Davidson-Pilon
  • License: MIT License
  • Pages: 256 pages
  • File type: PDF Files

Read and download free eBook intituled Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference 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.

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Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference

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