Hyperparameter Tuning Courses and Certifications

Hypertuning and Cross-Validation

Master hyperparameter optimization techniques through grid search, random search, and cross-validation methods to enhance machine learning model performance and achieve optimal results.

• CodeSignal
• On-Demand
• Free Certificate

Learn industry-standard techniques for hyperparameter tuning in machine learning, including Grid Search, Random Search, Bayesian Optimization, and Genetic Algorithms to improve model performance.

• Codecademy
• 1 hour
• On-Demand
• Free Trial Available

Optimize Model Training with Hyperparameter Tuning

Machine learning models are of critical business importance, and hyperparameters allow us to converge on more accurate models faster. This course will teach you how to understand and optimize hyperparameters by tuning them.

• Pluralsight
• 27 minutes
• On-Demand
• Free Trial Available

Toronto Machine Learning Series (TMLS)

Hyperparameter Tuning with a Focus on Weights and Biases Sweeps

Explore hyperparameter tuning strategies and visualizations for deep learning models, focusing on Weights & Biases Sweeps. Accelerate progress in semantic segmentation and language understanding projects.

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

AutoML Seminars

Open Source Vizier: Distributed Infrastructure for Blackbox Optimization and Hyperparameter Tuning

Explore Google's Vizier system for blackbox optimization and hyperparameter tuning, covering its distributed infrastructure, Python implementation, and integration with AutoML ecosystem.

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

AutoML Seminars

Hyperparameter Tuning on the Cloud - Optimizing Machine Learning Models with SEER and Rubberband

Master hyperparameter tuning optimization in cloud environments through SEER algorithm and Rubberband system, focusing on maximizing model accuracy while minimizing costs and time constraints.

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

Federated Hyperparameter Tuning - Challenges, Baselines, and Connections

Explores challenges and solutions for hyperparameter tuning in federated learning, introducing FedEx method to accelerate the process. Connects to weight-sharing in neural architecture search and demonstrates improved accuracy on benchmarks.

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

Microcredential

Journey into Machine Learning with Sklearn and Tensorflow

Dive into machine learning fundamentals through advanced deep learning, mastering data preprocessing, model optimization, and neural networks using real-world datasets with Sklearn and Tensorflow frameworks.

• CodeSignal
• On-Demand
• Free Certificate
• 5 courses

Microcredential

Introduction to Machine Learning with SciKit Learn

Master machine learning fundamentals using SciKit-learn, from data preprocessing through advanced model evaluation, including regression, classification, ensemble methods and hyperparameter tuning.

• CodeSignal
• On-Demand
• Free Certificate
• 7 courses

Intro to Model Optimization in Machine Learning

Master machine learning optimization techniques using real medical data, from hyperparameter tuning to advanced ensemble methods, enhancing your ability to build accurate predictive models.

• CodeSignal
• On-Demand
• Free Certificate

Introduction to Machine Learning with Gradient Boosting Models

Master gradient boosting models through hands-on practice with Tesla stock predictions, covering model training, cross-validation, hyperparameter tuning, feature importance analysis, and early stopping techniques.

• CodeSignal
• On-Demand
• Free Certificate

Enigmatic Autoencoders for Dimensionality Reduction

Dive into the world of autoencoders, mastering neural network architecture, forward propagation, and hyperparameter optimization for effective data compression and reconstruction techniques.

• CodeSignal
• On-Demand
• Free Certificate

Model Evaluation and Optimization

Master advanced techniques for evaluating and optimizing regression models, from cross-validation to hyperparameter tuning and regularization methods for enhanced predictive accuracy.

• CodeSignal
• On-Demand
• Free Certificate

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

63167 ratings at Coursera

Enhance deep learning skills: master hyperparameter tuning, regularization, optimization, and TensorFlow implementation for improved neural network performance and systematic results generation.

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

Model Validation in Python

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

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