AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide - Second Edition
AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide - Second Edition
The ultimate guide to passing the MLS-C01 exam on your first attempt
About the 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.
About the Author
Table of Contents
- 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
- Evaluating and Optimizing Models
- AWS Application Services for AI/ML
- Amazon SageMaker Modeling
- Model Deployment
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