Automating Machine Learning with Databricks AutoML: A Technical Overview

Machine learning has revolutionized the way we analyze data and make predictions, but it’s often a complex and time-consuming process. Enter AutoML, short for Automated Machine Learning. In this technical blog, we’ll explore how Databricks AutoML automates the machine learning model-building process, making it easier and more efficient. <img alt="" src="https://miro.medium.com/v2/resize:fit:142/1*6xHnXzYeM3sI5a_VELiCAw.png" style="height:115px; width:142px" /> Databrics AutoML <h1>AutoML in a Nutshell</h1> AutoML is all about streamlining the machine learning workflow. With Databricks AutoML, you can automatically apply machine learning to your datasets, and the “automatically” part is crucial. You feed your data to the AutoML algorithm, and it takes care of the rest, including model selection and hyperparameter tuning. Let’s break down how it works step by step. <a href="https://medium.com/@haripr9251/automating-machine-learning-with-databricks-automl-a-technical-overview-efb57313177b">Website</a>