Bayesian Analysis with Python by Osvaldo Martin. Simplify the Bayes process for solving complex statistical problems using Python. This guide will take the you through the journey of Bayesian analysis with the help of sample problems and practice exercises. (Limited-time offer)
Topics included: Thinking Probabilistically – A Bayesian Inference Primer • Programming Probabilistically – A PyMC3 Primer • Juggling with Multi-Parametric and Hierarchical Models • Understanding and Predicting Data with Linear Regression Models • Classifying Outcomes with Logistic Regression • Model Comparison • Mixture Models • Gaussian Processes.
Download Free PDF / Read Online
Publisher: Packt Publishing
Published: November 2016
Format(s): PDF, ePub, Mobi, Online
File size: 5.07 MB
Number of pages: 282
Download / View Link(s): This offer has ended.
Free as of