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You're reading from  Azure Data Scientist Associate Certification Guide

Product typeBook
Published inDec 2021
Reading LevelBeginner
PublisherPackt
ISBN-139781800565005
Edition1st Edition
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Authors (2):
Andreas Botsikas
Andreas Botsikas
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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
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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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Building the pipeline with the designer

In this section, we will create a training pipeline to train a machine learning model against the churn dataset you used in the previous chapter.

When you start designing a training pipeline, we recommend leveraging the 7 Steps of Machine Learning approach shown in the following diagram, which contains all the steps needed to create a machine learning model:

Figure 6.5 – 7 Steps of Machine Learning

This 7-step journey is a valuable checklist for real-life end-to-end scenarios to ensure you are not missing anything. In this journey, you will need various components, transformations, and models, which you can find in the asset library. To keep things simple, we will skip a couple of steps in the pipeline that you are going to design. In this section, you will start with a dataset that you will prepare to train a model. You will then evaluate the model and store it. In the next section, you will use that model...

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Azure Data Scientist Associate Certification Guide
Published in: Dec 2021Publisher: PacktISBN-13: 9781800565005

Authors (2)

author image
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

author image
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