Hyperparameter Optimization Courses and Certifications

Hyperparameter Optimization for Machine Learning

434 ratings at Udemy

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

• Udemy
• 10 hours
• On-Demand
• Paid Course

Hyperparameter Tuning in Python

Gain experience using techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

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

Hyperparameter Tuning in R

Learn to optimize your machine learning models with hyperparameter tuning in R, using caret, mlr, and h2o packages. Offered by a 4-hour course.

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

Association for Computing Machinery (ACM)

Optimization

Learn optimization techniques with ACM's concise guide, covering dense linear programs and energy maximization. Less than 1 hour workload.

• YouTube
• 38 minutes
• On-Demand
• Free Online Course

Julia Silge

Hyperparameter Tuning Using Tidymodels

Learn to tune hyperparameters for a random forest model with #TidyTuesday data on global food consumption, in under an hour with Julia Silge.

• YouTube
• 30 minutes
• On-Demand
• Free Online Course

Abhishek Thakur

Automated Hyperparameter Tuning for Deep Neural Networks

Learn to automate hyperparameter optimization for neural networks using Optuna in less than an hour with Abhishek Thakur. Ideal for PyTorch users.

• YouTube
• 56 minutes
• On-Demand
• Free Online Course

Abhishek Thakur

Hyperparameter Optimization - This Tutorial Is All You Need

Learn hyperparameter optimization techniques with Abhishek Thakur in under an hour. Topics include Grid Search, Random Search, Bayesian Optimization, Hyperopt, and Optuna.

• YouTube
• 1 hour
• On-Demand
• Free Online Course

Databricks

Efficient Distributed Hyperparameter Tuning with Apache Spark

Learn to optimize machine learning models using Apache Spark and Hyperopt in this short, practical guide by Databricks. Ideal for those looking to scale up their training with Spark.

• YouTube
• 26 minutes
• On-Demand
• Free Online Course

Hyperparameter Tuning with Keras Tuner

67 ratings at Coursera

Master hyperparameter tuning with Keras Tuner in this 2-hour project-based course by Coursera. Ideal for learners with Python, Neural Networks, and Keras API knowledge.

• Coursera
• 1 hour 20 minutes
• On-Demand
• Paid Course

Hyperparameter Tuning with Neural Network Intelligence

39 ratings at Coursera

Learn to use Microsoft's Neural Network Intelligence toolkit for hyperparameter tuning in a 2-hour project on Coursera. Familiarity with Python, Neural Networks, TensorFlow, and Keras required.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

MathWorks

Predictive Modeling and Machine Learning with MATLAB

74 reviews

Improve your MATLAB skills with MathWorks' 4-week course. Learn predictive modeling and machine learning, valuable for those with basic statistics knowledge but no programming background.

• Coursera
• 22 hours 12 minutes
• On-Demand
• Free Online Course (Audit)

Federated Hyperparameter Tuning - Challenges, Baselines, and Connections

Stanford University offers a short, intensive study on federated hyperparameter tuning in machine learning, exploring challenges, baselines, and connections to weight-sharing.

• YouTube
• 57 minutes
• On-Demand
• Free Online Course

Tuning GPT-3 on a Single GPU via Zero-Shot Hyperparameter Transfer

1 review

Learn to tune GPT-3 on a single GPU with MIT's seminar. Understand the µP method, its theoretical basis, and its application in machine learning. Less than 1-hour workload.

• YouTube
• 54 minutes
• On-Demand
• Free Online Course

DeepLearning.AI;  Stanford

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

62865 ratings at Coursera

DeepLearning.AI offers a 3-week course on improving deep neural networks, covering hyperparameter tuning, regularization, optimization, and TensorFlow implementation.

• Coursera
• 23 hours 35 minutes
• On-Demand
• Free Online Course (Audit)

TensorFlow 2.0 Practical

721 ratings at Udemy

Master Tensorflow 2.0, Google’s most powerful Machine Learning Library, with 10 practical projects

• Udemy
• 12 hours
• On-Demand
• Paid Course