<p><b>Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python</b></p> <h2>About This Book</h2><ul><li>Gain in-depth knowledge of Probabilistic Graphical Models</li><li>Model time-series problems using Dynamic Bayesian Networks</li><li>A
Computer graphics in Python. Advanced vector graphics using Pycairo and Python
โ Scribed by Martin McBride
- Year
- 2020
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Probabilistic graphical models is a technique in machine learning that uses the concepts of graph theory to concisely represent and optimally predict values in our data problems. Graphical models gives us techniques to find complex patterns in the data and are widely used in the field of speech rec
It was written rather more targeting the fixed-pipeline/rudimentary programmable shaders era. It's too bad it wasn't released a year or two later. That said, it is fairly well written and still has useful information relevant today, if occasionally a little sparse on the more advanced and fully rele
This book includes full documentation for Tkinter, and also offers extensive examples for many real-world Python/Tkinter applications that will give programmers a quick start on their own projects.