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AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

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

Product type Book

Published in Mar 2021

Publisher Packt

ISBN-13 9781800569003

Pages 338 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Authors (2):

Somanath Nanda

Weslley Moura

View More author details

Table of Contents (14) Chapters

Preface

Section 1: Introduction to Machine Learning

Chapter 1: Machine Learning Fundamentals

Chapter 2: AWS Application Services for AI/ML

Section 2: Data Engineering and Exploratory Data Analysis

Chapter 3: Data Preparation and Transformation

Chapter 4: Understanding and Visualizing Data

Chapter 5: AWS Services for Data Storing

Chapter 6: AWS Services for Data Processing

Section 3: Data Modeling

Chapter 7: Applying Machine Learning Algorithms

Chapter 8: Evaluating and Optimizing Models

Chapter 9: Amazon SageMaker Modeling

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Technical requirements

All you will need for this chapter is an AWS account.

You can download the code examples for this chapter from GitHub at https://github.com/PacktPublishing/AWS-Certified-Machine-Learning-Specialty-MLS-C01-Certification-Guide/tree/master/Chapter-2.

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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.

See other products by 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.

See other products by Weslley Moura

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