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

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

By Somanath Nanda , Weslley Moura
£26.99 £17.99
Book Feb 2024 342 pages 2nd Edition
eBook
£26.99 £17.99
Print
£33.99
Subscription
£13.99 Monthly
eBook
£26.99 £17.99
Print
£33.99
Subscription
£13.99 Monthly

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Product Details


Publication date : Feb 29, 2024
Length 342 pages
Edition : 2nd Edition
Language : English
ISBN-13 : 9781835082201
Category :
Table of content icon View table of contents Preview book icon Preview Book

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

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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.

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

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Feb 29, 2024
Length 342 pages
Edition : 2nd Edition
Language : English
ISBN-13 : 9781835082201
Category :

Table of Contents

13 Chapters
Preface Chevron down icon Chevron up icon
Chapter 1: Machine Learning Fundamentals Chevron down icon Chevron up icon
Chapter 2: AWS Services for Data Storage Chevron down icon Chevron up icon
Chapter 3: AWS Services for Data Migration and Processing Chevron down icon Chevron up icon
Chapter 4: Data Preparation and Transformation Chevron down icon Chevron up icon
Chapter 5: Data Understanding and Visualization Chevron down icon Chevron up icon
Chapter 6: Applying Machine Learning Algorithms Chevron down icon Chevron up icon
Chapter 7: Evaluating and Optimizing Models Chevron down icon Chevron up icon
Chapter 8: AWS Application Services for AI/ML Chevron down icon Chevron up icon
Chapter 9: Amazon SageMaker Modeling Chevron down icon Chevron up icon
Chapter 10: Model Deployment Chevron down icon Chevron up icon
Chapter 11: Accessing the Online Practice Resources Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

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