You're reading from AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

Product typeBook

Published inMar 2021

Reading LevelBeginner

PublisherPackt

ISBN-139781800569003

Edition1st Edition

Languages

Python

Tools

Azure Functions

Concepts

Machine Learning

Authors (2):

Somanath Nanda

Weslley Moura

View More author details

Introducing this chapter

During this chapter, we will talk about several algorithms, modeling concepts, and learning strategies. We think all these topics will be beneficial for you during the exam and your data scientist career.

We have structured this chapter in a way so that it covers not only the necessary topics of the exam but also gives you a good sense of the most important learning strategies out there. For example, the exam will check your knowledge regarding the basic concepts of K-means; however, we will cover it on a much deeper level, since this is an important topic for your career as a data scientist.

We will follow this approach, looking deeper into the logic of the algorithm, for some types of models that we feel every data scientist should master. So, keep that in mind: sometimes, we might go deeper than expected in the exam, but that will be extremely important for you.

Many times, during this chapter, we will use the term built-in algorithms. We will use...

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AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

Published in: Mar 2021Publisher: PacktISBN-13: 9781800569003

Authors (2)

Somanath Nanda

Somanath has 10 years of working experience in IT industry which includes Prod development, Devops, Design and architect products from end to end. He has also worked at AWS as a Big Data Engineer for about 2 years.
Read more about Somanath Nanda

Weslley Moura

Weslley Moura has been developing data products for the past decade. At his recent roles, he has been influencing data strategy and leading data teams into the urban logistics and blockchain industries.
Read more about Weslley Moura

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Introducing this chapter

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