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

Table of Contents

Preface

1

Machine Learning Fundamentals

Making The Most Out of This Book – Your Certification and Beyond

Comparing AI, ML, and DL

Examining ML

Examining DL

Classifying supervised, unsupervised, and reinforcement learning

Introducing supervised learning

The CRISP-DM modeling life cycle

Data splitting

Overfitting and underfitting

Applying cross-validation and measuring overfitting

Bootstrapping methods

The variance versus bias trade-off

Shuffling your training set

Modeling expectations

Introducing ML frameworks

ML in the cloud

Summary

Exam Readiness Drill – Chapter Review Questions

2

AWS Services for Data Storage

Technical requirements

Storing Data on Amazon S3

Creating buckets to hold data

Distinguishing between object tags ...