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

Visualizing relationships in your data

When we need to show relationships in our data, we are usually talking about plotting two or more variables in a chart to visualize their level of dependency. A scatter plot is probably the most common type of chart to show the relationship between two variables. The following is a scatter plot for two variables, x and y:

Figure 4.1 – Plotting relationships with a scatter plot

The preceding plot shows a clear relationship between x and y. As x increases, y also increases. In this particular case, we can say that there is a linear relationship between both variables. Keep in mind that scatter plots may also catch other types of relationships, not only linear ones. For example, it would also be possible to find an exponential relationship between the two variables.

Another nice chart to make comparisons with is known as a bubble chart. Just like a scatter plot, it will also show the relationship between variables...