Learn what is automated machine learning (AutoML), how it works, and why it is important.
Table of Contents
Question
Automated machine learning is the process of automating the time consuming, iterative tasks of machine learning model development. True or False?
A. True
B. False
Answer
A. True
Explanation
Automated machine learning is the process of automating the time consuming, iterative tasks of machine learning model development.
The correct answer is A. True. Automated machine learning, or AutoML, is the process of automating the time-consuming, iterative tasks of machine learning model development. It allows data scientists, analysts, and developers to build ML models with high scale, efficiency, and productivity all while sustaining model quality. AutoML potentially includes every stage from beginning with a raw dataset to building a machine learning model ready for deployment. AutoML can target various stages of the machine learning process, such as data preparation, feature engineering, algorithm selection, hyperparameter optimization, and model evaluation. AutoML aims to simplify these steps for non-experts, and to make it easier for them to use machine learning techniques correctly and effectively.
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