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)
Udemy
platform
English
language
Science
category
instructor
Theory of Gaussian Process Regression for Machine Learning
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

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3010084
udemy ID
4/16/2020
course created date
5/31/2020
course indexed date
Angelcrc Seven
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