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Udemy - Gaussian Process Regression for Bayesian Machine Learning

Udemy - Gaussian Process Regression for Bayesian Machine Learning

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Description
[ FreeCourseWeb.com ] Gaussian Process Regression for Bayesian Machine Learning



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MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch

Genre: eLearning | Language: English | Duration: 11 lectures (54 mins) | Size: 262 MB

Acquire a powerful probabilistic modelling tool for modern machine learning, with fundamentals and application in Python

What you'll 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



Requirements



A basic understanding of linear algebra

Basic experience with coding



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  • Udemy - Gaussian Process Regression for Bayesian Machine Learning
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