Hyperparameter Optimization for Machine Learning
trainindata.com
Hyperparameter Optimization for Machine Learning
The most comprehensive online course on hyperparameter tuning for machine learning. You will learn multiple techniques to select the best hyperparameters and improve the performance of your machine learning models.
2022年6月1日
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💡 How to Optimize Hyperparameters in Machine Learning What you’ll learn: • What hyperparameters are and why they matter • Grid Search & Random Search basics • Using cross-validation to avoid overfitting during tuning • Bayesian Optimization & Hyperband for efficient search • Automating reproducible tuning pipelines • Balancing accuracy vs compute/time resources • Logging experiments and preserving results 🔗 Read more info: https://www.nomidl.com/machine-learning/how-to-optimized-hyperparameter
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💡 How to Optimize Hyperparameters in Machine Learning What you’ll learn: • What hyperparameters are and why they matter • Grid Search & Random Search basics • Using cross-validation to avoid overfitting during tuning • Bayesian Optimization & Hyperband for efficient search • Automating reproducible tuning pipelines • Balancing accuracy vs compute/time resources • Logging experiments and preserving results 🔗 Read more info: https://www.nomidl.com/machine-learning/how-to-optimized-hyperparameter
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💡 How to Optimize Hyperparameters in Machine Learning What you’ll learn: • What hyperparameters are and why they matter • Grid Search & Random Search basics • Using cross-validation to avoid overfitting during tuning • Bayesian Optimization & Hyperband for efficient search • Automating reproducible tuning pipelines • Balancing accuracy vs compute/time resources • Logging experiments and preserving results 🔗 Read more info: https://www.nomidl.com/machine-learning/how-to-optimized-hyperparameter
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