Book Image

AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

By : Somanath Nanda, Weslley Moura
Book Image

AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

By: Somanath Nanda, Weslley Moura

Overview of this book

The AWS Certified Machine Learning Specialty exam tests your competency to perform machine learning (ML) on AWS infrastructure. This book covers the entire exam syllabus using practical examples to help you with your real-world machine learning projects on AWS. Starting with an introduction to machine learning on AWS, you'll learn the fundamentals of machine learning and explore important AWS services for artificial intelligence (AI). You'll then see how to prepare data for machine learning and discover a wide variety of techniques for data manipulation and transformation for different types of variables. The book also shows you how to handle missing data and outliers and takes you through various machine learning tasks such as classification, regression, clustering, forecasting, anomaly detection, text mining, and image processing, along with the specific ML algorithms you need to know to pass the exam. Finally, you'll explore model evaluation, optimization, and deployment and get to grips with deploying models in a production environment and monitoring them. By the end of this book, you'll have gained knowledge of the key challenges in machine learning and the solutions that AWS has released for each of them, along with the tools, methods, and techniques commonly used in each domain of AWS ML.
Table of Contents (14 chapters)
Section 1: Introduction to Machine Learning
Section 2: Data Engineering and Exploratory Data Analysis
Section 3: Data Modeling

Relational Database Services (RDSes)

This is one of the most commonly featuring exam topics in AWS exams. You should have sufficient knowledge prior to the exam. In this section, we will learn about Amazon's RDS.

AWS provides several relational databases as a service to its users. Users can run their desired database on EC2 instances, too. The biggest drawback is that the instance is only available in one availability zone in a region. The EC2 instance has to be administered and monitored to avoid any kind of failure. Custom scripts will be required to maintain a data backup over time. Any database major or minor version update would result in downtime. Database instances running on an EC2 instance cannot be easily scaled if the load increases on the database as replication is not an easy task.

RDS provides managed database instances that can themselves hold one or more databases. Imagine a database server running on an EC2 instance that you do not have to manage or maintain...