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Azure Data Scientist Associate Certification Guide

You're reading from  Azure Data Scientist Associate Certification Guide

Product type Book
Published in Dec 2021
Publisher Packt
ISBN-13 9781800565005
Pages 448 pages
Edition 1st Edition
Languages
Concepts
Authors (2):
Andreas Botsikas Andreas Botsikas
Profile icon Andreas Botsikas
LinkedIn
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.
See other products by Andreas Botsikas
Michael Hlobil Michael Hlobil
Profile icon Michael Hlobil
LinkedIn
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.
See other products by Michael Hlobil
View More author details

Table of Contents (17) Chapters

Preface 1. Section 1: Starting your cloud-based data science journey
2. Chapter 1: An Overview of Modern Data Science 3. Chapter 2: Deploying Azure Machine Learning Workspace Resources 4. Chapter 3: Azure Machine Learning Studio Components 5. Chapter 4: Configuring the Workspace 6. Section 2: No code data science experimentation
7. Chapter 5: Letting the Machines Do the Model Training 8. Chapter 6: Visual Model Training and Publishing 9. Section 3: Advanced data science tooling and capabilities
10. Chapter 7: The AzureML Python SDK 11. Chapter 8: Experimenting with Python Code 12. Chapter 9: Optimizing the ML Model 13. Chapter 10: Understanding Model Results 14. Chapter 11: Working with Pipelines 15. Chapter 12: Operationalizing Models with Code 16. Other Books You May Enjoy

Section 2: No code data science experimentation

Azure Machine Learning Studio offers various no-code/low-code wizards and designers that enable power users to perform end-to-end data science experiments. Experienced data scientists and machine learning engineers also use these experiences to kick start a project, verify a hypothesis, understand which model performs best on a given dataset and design data cleansing processes without writing any code. In this section, you will learn how to run data science experiments through the web designers and wizards provided in Azure ML Studio.

This section comprises of the following chapters:

  • Chapter 5, Letting the Machines Do the Model Training
  • Chapter 6, Visual Model Training and Publishing
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Authors (2)

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Profile icon Andreas Botsikas
LinkedIn
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
See other products by Andreas Botsikas
Profile icon Michael Hlobil
LinkedIn
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
See other products by Michael Hlobil
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