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

AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide: The ultimate guide to passing the MLS-C01 exam on your first attempt , Second Edition

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Profile Icon Somanath Nanda Profile Icon Weslley Moura
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$35.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (20 Ratings)
eBook Feb 2024 342 pages 2nd Edition
eBook
$35.99
Paperback
$44.99
Subscription
Free Trial
Renews at $12.99p/m
Arrow left icon
Profile Icon Somanath Nanda Profile Icon Weslley Moura
Arrow right icon
$35.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (20 Ratings)
eBook Feb 2024 342 pages 2nd Edition
eBook
$35.99
Paperback
$44.99
Subscription
Free Trial
Renews at $12.99p/m
eBook
$35.99
Paperback
$44.99
Subscription
Free Trial
Renews at $12.99p/m

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Key benefits

  • Gain proficiency in AWS machine learning services to excel in the MLS-C01 exam
  • Build model training and inference pipelines and deploy machine learning models to the AWS cloud
  • Practice on the go with the mobile-friendly bonus website, accessible with the book
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

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.

Who is this book for?

This book is designed for both students and professionals preparing for the AWS Certified Machine Learning Specialty exam or enhance their understanding of machine learning, with a specific emphasis on AWS. Familiarity with machine learning basics and AWS services is recommended to fully benefit from this book.

What you will learn

  • Identify ML frameworks for specific tasks
  • Apply CRISP-DM to build ML pipelines
  • Combine AWS services to build AI/ML solutions
  • Apply various techniques to transform your data, such as one-hot encoding, binary encoder, ordinal encoding, binning, and text transformations
  • Visualize relationships, comparisons, compositions, and distributions in the data
  • Use data preparation techniques and AWS services for batch and real-time data processing
  • Create training and inference ML pipelines with Sage Maker
  • Deploy ML models in a production environment efficiently

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Feb 29, 2024
Length: 342 pages
Edition : 2nd
Language : English
ISBN-13 : 9781835082904
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What do you get with eBook?

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Product Details

Publication date : Feb 29, 2024
Length: 342 pages
Edition : 2nd
Language : English
ISBN-13 : 9781835082904
Category :
Languages :

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Frequently bought together


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AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide
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Dieter Mar 05, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This guide serves as an indispensable resource for anyone preparing for the AWS Certified Machine Learning - Specialty (MLS-C01) examination. With its detailed exploration of machine learning fundamentals, extensive coverage of AWS services for data storage, processing, migration, and in-depth discussion on model evaluation, optimization, and deployment, the book equips readers with the knowledge and skills necessary to excel in the exam and in real-world applications.Three Key Takeaways:- Fundamental ML Concepts and AWS Integration: The book provides a solid foundation in machine learning principles while demonstrating how to leverage AWS services for effective ML implementation.- Data Handling and Processing: It offers practical insights into managing, storing, and processing data using AWS, highlighting the importance of data quality and preparation in ML projects.- Model Deployment and Optimization: Readers learn strategies for evaluating, optimizing, and deploying machine learning models on AWS, ensuring they are production-ready and scalable.This guide not only prepares candidates for certification but also enriches their understanding of applying machine learning on AWS, making it a valuable asset for both beginners and experienced practitioners in the field.
Amazon Verified review Amazon
Rajavel S Mar 30, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is perfect for students or professionals who are looking to get certified on this stream. It covers below topics- Machine Learning fundamentals- AWS services for data storage- AWS services for data migration and processing- Data Preparation and Transformation- Data Understanding and Visualization- Applying machine learning algorithms- Models optimization and evaluation- Provides examples of services available in AWS for AI/ML- Amazon Sagemaker Modeling- Deployment modesYou will be given with example code snippet to practice and get familiar with concepts and be prepared or ready for your exams.It will also provide few other books that you can refer if you enjoy data science modeling streams. wishing everyone a good luck with their exams!!
Amazon Verified review Amazon
Allen Wyma Apr 25, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I’m just starting to get into AI/ML and I’ve already been using AWS for a while. I decided to check out this book, even though I have no plans to take the test, but just to get an idea of AI/ML on AWS. I was blown away by the content of this book. It gets real in depth of how AI/ML works on AWS and is perfect for me as I dont’ always have so much time to go through Amazon’s vast documentation to find the services I need.I highly recommend those who plan to either take the test or use AI/ML on AWS to check this book out.
Amazon Verified review Amazon
Ryan Kennon Apr 13, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Preparing for any certification exam can sometimes be a daunting task, determining what online resources are actually relevant to the exam and having a limited amount of free testing questions. This book serves as a one stop shop to solve all of these problems when preparing for the AWS Certified Machine Learning - Specialty (MLS-C01). It takes you step by step on the data science topics covered in the exam as well as how to implement them on AWS. Additionally it covers the AWS AI/ML services already available and how to implement a solution on them in an approachable way.TLDR: Whether you're preparing for the exam, looking for some supplemental prep materials or a practicing professional looking for a quick reference guide this book is a great option.
Amazon Verified review Amazon
Alberto Cárdenas Mar 19, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I was looking for a book that could really help me pass the AWS Machine Learning exam, and this book has everything you need so you can take the exam without worries, widely recommended, the author knows the subject well
Amazon Verified review Amazon
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