Auto ML
AutoML (Automated Machine Learning) refers to tools and techniques that automate parts of the machine learning pipeline — such as feature selection, model selection, and hyperparameter tuning — reducing the manual effort and expertise needed to build effective models.
4 resources across 1 library
Glossary Terms(4)
Cross-Validation
Cross-validation is a model evaluation technique that repeatedly splits a dataset into different training and validation subsets, trains and tests the model on…
Hyperparameter Tuning
Hyperparameter tuning is the process of systematically searching for the configuration values that control a machine learning model's training process — such a…
AutoML
AutoML (Automated Machine Learning) refers to tools and techniques that automate parts of the machine learning pipeline — such as feature selection, model sele…
Neural Architecture Search
Neural Architecture Search (NAS) is an automated technique for designing effective neural network architectures by systematically searching a space of possible…