Hyperparameter Optimization Courses and Certifications

Hyperparameter Tuning in R

Learn how to tune your model's hyperparameters to get the best predictive results.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Hyperparameter Tuning in Python

12 ratings at DataCamp

Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Hyperparameter Optimization for Machine Learning

721 ratings at Udemy

Learn grid and random search, Bayesian optimization, multi-fidelity models, Optuna, Hyperopt, Scikit-Optimize & more.

• Udemy
• 9 hours 25 minutes
• On-Demand
• Paid Course

Abhishek Thakur

Automated Hyperparameter Tuning for Deep Neural Networks

Comprehensive guide to automated hyperparameter tuning for deep neural networks using Optuna, covering dataset preparation, model design, and optimization techniques in PyTorch.

• YouTube
• 56 minutes
• On-Demand
• Free Video

Abhishek Thakur

Hyperparameter Optimization - This Tutorial Is All You Need

Explore various hyperparameter optimization techniques including Grid Search, Random Search, Bayesian Optimization, Hyperopt, and Optuna to fine-tune models and optimize functions effectively.

• YouTube
• 1 hour
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

Optimization

Explore advanced optimization techniques for tall dense linear programs, including faster energy maximization for maximum flow problems.

• YouTube
• 38 minutes
• On-Demand
• Free Video

Databricks

Efficient Distributed Hyperparameter Tuning with Apache Spark

Learn to efficiently distribute hyperparameter tuning workloads using Apache Spark, avoiding common pitfalls and optimizing performance. Explore best practices with Hyperopt and joblib-spark for scaling ML model training.

• YouTube
• 26 minutes
• On-Demand
• Free Video

Julia Silge

Hyperparameter Tuning Using Tidymodels

Explore hyperparameter tuning for random forest models using global food consumption data, enhancing model performance and gaining insights into international dietary patterns.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Digi-Key

Hyperparameter Optimization for Reinforcement Learning Using Meta's Ax

Learn to optimize hyperparameters for reinforcement learning using Meta's Ax framework. Explore grid search, random search, and Bayesian optimization techniques to improve machine learning model performance.

• YouTube
• 58 minutes
• On-Demand
• Free Video

Discover AI

SETFIT Hyperparameter Optimization for SBERT Text Classification - Part 45

Master SETFIT hyperparameter optimization techniques for efficient text classification using Sentence Transformers, focusing on contrastive training and automated parameter tuning for optimal performance.

• YouTube
• 22 minutes
• On-Demand
• Free Video

AutoML Seminars

Multi-Objective Population Based Training for Hyperparameter Optimization

Discover advanced hyperparameter optimization techniques through Population Based Training (PBT) and its multi-objective evolution, focusing on real-world applications in precision, fairness, and robustness.

• YouTube
• 26 minutes
• On-Demand
• Free Video

AutoML Seminars

Challenges in Hyperparameter Optimization for Reinforcement Learning - Understanding AutoRL Through AutoML

Explore the complexities of hyperparameter optimization in Reinforcement Learning, examining AutoML tools and methods to better understand and tune RL algorithms for improved performance.

• YouTube
• 32 minutes
• On-Demand
• Free Video

AutoML Seminars

Hyperparameter Optimization and Algorithm Configuration from a Black-Box Optimization Perspective

Explore dynamic algorithm configuration and hyperparameter optimization approaches, comparing AutoML and black-box optimization methods for efficient, adaptive parameter tuning.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

A Hyperparameter Optimization Toolkit for Neural Machine Translation Research

Explore a toolkit for optimizing hyperparameters in neural machine translation research, enhancing efficiency and performance in NMT model development.

• YouTube
• 11 minutes
• On-Demand
• Free Video

AutoML Seminars

Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization

Discover how reshuffling resampling splits during hyperparameter optimization can enhance machine learning model performance and improve generalization on unseen data through theoretical and practical insights.

• YouTube
• 46 minutes
• On-Demand
• Free Video