Hyperparameter Optimization for Machine Learning

Learn grid and random search, Bayesian optimization, multi-fidelity models, Optuna, Hyperopt, Scikit-Optimize & more.
4.54 (740 reviews)
Udemy
platform
English
language
Other
category
Soledad Galli
instructor
Hyperparameter Optimization for Machine Learning
9 522
students
9.5 hours
content
Sep 2024
last update
$84.99
regular price

What you will learn

Hyperparameter tunning and why it matters

Cross-validation and nested cross-validation

Hyperparameter tunning with Grid and Random search

Bayesian Optimisation

Tree-Structured Parzen Estimators, Population Based Training and SMAC

Hyperparameter tunning tools, i.e., Hyperopt, Optuna, Scikit-optimize, Keras Turner and others

Course Gallery

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Related Topics

3802920
udemy ID
26/01/2021
course created date
13/05/2021
course indexed date
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