You're reading from Azure Data Scientist Associate Certification Guide

Product typeBook

Published inDec 2021

Reading LevelBeginner

PublisherPackt

ISBN-139781800565005

Edition1st Edition

Languages

Python

Tools

Azure Functions

Concepts

Machine Learning

Authors (2):

Andreas Botsikas

Michael Hlobil

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Deploying Azure ML through the portal

In this section, you are going to deploy an Azure ML workspace through the Azure portal wizard. First, navigate to the Azure portal at https://portal.azure.com.

There are a couple of ways in which you can initiate the creation of an Azure ML workspace wizard. The following are the three most popular ones:

From the home page of the Azure portal, you can select Create a resource from either the top of the page underneath the Azure services label or the Azure portal menu in the upper-left corner:

Figure 2.1 – Creating a resource in the Azure portal

This approach is the most generic one and will ask you to search for the service you want to create. Search for machine learning and select the first option from the Marketplace search results that are provided by Microsoft:

Figure 2.2 – ML search results in Azure Marketplace

You can review the service information...

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Azure Data Scientist Associate Certification Guide

Published in: Dec 2021Publisher: PacktISBN-13: 9781800565005

Authors (2)

Andreas Botsikas

Andreas Botsikas is an experienced advisor working in the software industry. He has worked in the finance sector, leading highly efficient DevOps teams, and architecting and building high-volume transactional systems. He then traveled the world, building AI-infused solutions with a group of engineers and data scientists. Currently, he works as a trusted advisor for customers onboarding into Azure, de-risking and accelerating their cloud journey. He is a strong engineering professional with a Doctor of Philosophy (Ph.D.) in resource optimization with artificial intelligence from the National Technical University of Athens.
Read more about Andreas Botsikas

Michael Hlobil

Michael Hlobil is an experienced architect focused on quickly understanding customers' business needs, with over 25 years of experience in IT pitfalls and successful projects, and is dedicated to creating solutions based on the Microsoft Platform. He has an MBA in Computer Science and Economics (from the Technical University and the University of Vienna) and an MSc (from the ESBA) in Systemic Coaching. He was working on advanced analytics projects in the last decade, including massive parallel systems and Machine Learning systems. He enjoys working with customers and supporting the journey to the cloud.
Read more about Michael Hlobil

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