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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To get the most out of this book

This book tries to provide you with everything you need to learn. The Further reading section of each chapter contains links to pages that will help you deep dive, into topics that are peripheral to the contents of this book. It will help if you have some basic familiarity with the Azure portal and have read some Python code in the past.

In this book, we guide you to use the Notebooks experience available within the AzureML studio. If you want to execute the same code on your workstation instead of the cloud-based experience, you will need a Python environment to run Jupyter notebooks. The easiest way to run Jupyter notebooks on your workstation is through VSCode, a free cross-platform editor with fantastic Python support. You will also need to install Git in your workstation to clone the book’s GitHub repository.

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book's GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

If you face any issue executing the code, ensure that you have cloned the latest version from the GitHub repository. If the problem persists, feel free to open a GitHub issue to describe the issue you are facing and help you solve it.

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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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