Udemy - Master Hyperparameter Tuning - Bayesian Optimization and TPE torrent

Master Hyperparameter Tuning: Bayesian Optimization & TPE
https://WebToolTip.com
Published 9/2026

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Language: English + subtitle | Duration: 2h 32m | Size: 810.48 MB
Understand how Gaussian processes, acquisition functions and TPE find better model configurations with fewer trials.
What you'll learn

Understand how Bayesian Optimization finds promising hyperparameter configurations

Explain how TPE identifies promising regions of the hyperparameter space

Describe how Gaussian processes model expected performance and uncertainty

Analyze how acquisition functions balance exploration and exploitation

Compare Gaussian process, TPE, and random forest–based optimization
Requirements

Basic understanding of machine learning and common predictive models

Familiarity with hyperparameters and the purpose of model tuning

A general awareness of Grid Search and Random Search is helpful, but not required

Familiarity with machine learning model evaluation metrics