AutoML which stands for Automated Machine Learning empowers data teams to quickly build and deploy machine learning models. It aims to curb the time and expertise required to generate a machine learning model by automating the heavy lifting of preprocessing, feature engineering and model creation, tuning and evaluation. While AutoML may initially appeal solely to enterprises for their citizen data scientists, it has the potential to become a valuable tool for seasoned data scientists as well. This session aims to demonstrate how to get started with AutoML using Azure Databricks to solve a machine learning problem.

Feedback link:
Presented by Gavita Regunath at SQLBits 2022