Hyperparameter Optimization for Machine Learning

Learn grid and random search, Bayesian optimization, multi-fidelity models, Optuna, Hyperopt, Scikit-Optimize & more.
4.60 (727 reviews)
Udemy
platform
English
language
Other
category
Soledad Galli
instructor
Hyperparameter Optimization for Machine Learning
9,440
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

Screenshots

Hyperparameter Optimization for Machine Learning - Screenshot_01Hyperparameter Optimization for Machine Learning - Screenshot_02Hyperparameter Optimization for Machine Learning - Screenshot_03Hyperparameter Optimization for Machine Learning - Screenshot_04
Related Topics
3802920
udemy ID
1/26/2021
course created date
5/13/2021
course indexed date
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