Build and Deploy a Machine Learning Model using AutoML in Azure ML

Learn how to build and deploy a machine learning model using AutoML in Azure ML.

Model selection and tuning hyperparameters can be a tedious task. Setting up multiple runs, hyperparameter sweeps, and algorithms is usually not a Data Scientist’s favorite part of the job. AutoML is a tool in Azure ML that does all of this for you. There are a variety of algorithms, hyperparameters, and evaluation metrics available that are automatically run based on your defined criteria. In this webinar, we will look at how we can use AutoML for training a machine learning model. We will also look at the evaluation metrics and see how we can pick the best model from an AutoML run.

Table of Contents:
00:00 Introduction
04:58 What are Azure ML & AutoML
05:22 When and why should I use AutoML
12:05 Live-example


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[ronitakhariya]

hello i couldnt find the dataset on your website only the jupyter notebook is there.

[sanjanasanjana]

I'm unable to import RunDetails could you tell me what's the cause or any solution for it