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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Basic coding with the AzureML SDK

The first class you will work with is the AzureML Workspace, a class that gives you access to all the resources within your workspace. To create a reference to your workspace, you will need the following information:

Subscription ID: The subscription where the workspace is located. This is a Globally Unique Identifier (GUID, also known as a UUID) that consists of 32 hexadecimal (0-F) digits; for example, ab05ab05-ab05-ab05-ab05-ab05ab05ab05. You can find this ID in the Azure portal in the Properties tab of the subscription you are using.
Resource group name: The resource group that contains the AzureML workspace components.
Workspace name: The name of the AzureML workspace.

You can store this information in variables by running the following assignments:

subscription_id = '<Subscription Id>'
resource_group = 'packt-azureml-rg'
workspace_name = 'packt-learning-mlw'

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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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Basic coding with the AzureML SDK

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