Microsoft Azure Machine Learning for Data Scientists

Microsoft via Coursera

Coursera based on 166 ratings

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Overview

Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can make it easier. In this course, you will learn how to use Azure Machine Learning to create and publish models without writing code. This is the second course in a five-course program that prepares you to take the DP-100: Designing...

Syllabus

Use Automated Machine Learning in Azure Machine Learning

Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can make it easier. In this module, you'll learn how to identify different kinds of machine learning model and how to use the automated machine learning capability of Azure Machine Learning to train and deploy a predictive model.

Create a Regression Model with Azure Machine Learning Designer

Regression is a supervised machine learning technique used to predict numeric values. In this module, you will learn how to create regression models using Azure Machine Learning designer.

Create a Classification Model with Azure AI

Classification is a supervised machine learning technique used to predict categories or classes. In this module, you will learn how to create classification models using Azure Machine Learning designer.

Create a Clustering Model with Azure AI

Clustering is an unsupervised machine learning technique used to group similar entities based on their features. In this module, you will learn how to create clustering models using Azure Machine Learning designer.