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

Using other types of data stores

Elastic Block Store (EBS) is used to create volumes in an availability zone. The volume can only be attached to an EC2 instance in the same availability zone. Amazon EBS provides both SSD (Solid State Drive) and HDD (Hard Disk Drive) types of volumes. For SSD-based volumes, the dominant performance attribute is IOPS (Input Output Per Second), and for HDD it is throughput, which is generally measured as MiB/s. The following table shown in Figure 5.3 provides an overview of the different volumes and types:

Figure 5.3 – Different volumes and their use cases

EBS is resilient to an availability zone (AZ). If, for some reason, an AZ fails, then the volume cannot be accessed. To avoid such scenarios, snapshots can be created from the EBS volumes and snapshots are stored in S3. Once the snapshot arrives at S3, the data in the snapshot becomes region-resilient. The first snapshot is a full copy of data on the volume and, from...