Theory of Gaussian Process Regression for Machine Learning
Introduction to a probabilistic modelling tool for Bayesian machine learning, with application in Python
4.08 (119 reviews)

3,113
students
1 hour
content
Aug 2021
last update
$44.99
regular price
What you will learn
The mathematics behind an algorithm such as the scikit-learn GaussianProcessRegressor algorithm
The benefits of Gaussian process regression
Examples of Gaussian process regression in action
The most important kernels needed for Gaussian process regression
How to apply Gaussian process regression in Python using scikit-learn
Screenshots




Related Topics
3010084
udemy ID
4/16/2020
course created date
5/31/2020
course indexed date
Angelcrc Seven
course submited by