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  • Book Overview & Buying AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide
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AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide

AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide - Second Edition

By : Somanath Nanda, Weslley Moura
4.6 (22)
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AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide

AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide

4.6 (22)
By: Somanath Nanda, Weslley Moura

Overview of this book

The AWS Certified Machine Learning Specialty (MLS-C01) exam evaluates your ability to execute machine learning tasks on AWS infrastructure. This comprehensive book aligns with the latest exam syllabus, offering practical examples to support your real-world machine learning projects on AWS. Additionally, you'll get lifetime access to supplementary online resources, including mock exams with exam-like timers, detailed solutions, interactive flashcards, and invaluable exam tips, all accessible across various devices—PCs, tablets, and smartphones. Throughout the book, you’ll learn data preparation techniques for machine learning, covering diverse methods for data manipulation and transformation across different variable types. Addressing challenges such as missing data and outliers, the book guides you through an array of machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, text mining, and image processing, accompanied by requisite machine learning algorithms essential for exam success. The book helps you master the deployment of models in production environments and their subsequent monitoring. Equipped with insights from this book and the accompanying mock exams, you'll be fully prepared to achieve the AWS MLS-C01 certification.
Table of Contents (13 chapters)
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Creating alternative pipelines with Lambda Functions

Indeed, SageMaker is an awesome platform that you can use to create training and inference pipelines. However, you can always work with different services to come up with similar solutions. One of these services, which you will learn about next, is known as Lambda functions.

AWS Lambda is a serverless compute service where you can run a function as a service. In other words, you can concentrate your efforts on just writing your function. Then, you just need to tell AWS how to run it (that is, the environment and resource configurations), so all the necessary resources will be provisioned to run your code and then discontinued once it is completed.

Throughout Chapter 3, AWS Services for Data Migration and Processing, you explored how Lambda functions integrate with many different services, such as Kinesis and AWS Batch. Indeed, AWS did a very good job of integrating Lambda with 140+ services (and the list is constantly increasing...

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AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide
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