Hyperparameter Optimization for Machine Learning

Hyperparameter Optimization for Machine Learning

” Hyperparameter Optimization for Machine Learning “ What you’ll learn Hyperparameter tunning and why it matters Cross-validation and nested cross-validation Hyperparameter tunning with Grid and Random search Bayesian Optimisation Tree-Structured Parzen Estimators, Population Based Training and SMAC Hyperparameter tunning tools,… Continue Reading

Deployment of Machine Learning Models

” Deployment of Machine Learning Models “ Learn how to integrate robust and reliable Machine Learning Pipelines in Production What you’ll learnBuild machine learning model APIs and deploy models into the cloudSend and receive requests from deployed machine learning modelsDesign… Continue Reading

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Mathematical Foundations of Machine Learning

The Theoretical and Practical Foundations of Machine Learning. Master Matrices, Linear Algebra, and Tensors in Python What you’ll learn Understand the fundamentals of linear algebra, a ubiquitous approach for solving for unknowns within high-dimensional spaces.Manipulate tensors using the most important… Continue Reading