What is AutoML and what tasks does it automate?

AutoML (Automated Machine Learning) is a set of methods and tools that automate the process of creating machine learning models. The main goal of AutoML is to simplify and accelerate model development, minimizing human involvement.

AutoML automates the following tasks:

• Data preprocessing (cleaning, transformation)
• Feature selection and tuning
• Model architecture and algorithm selection
• Hyperparameter optimization (HPO)
• Model evaluation and validation

An example of AutoML usage is a platform that takes a dataset as input and automatically selects the best model with optimal parameters without the need for deep ML knowledge.