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

Translating documents with Amazon Translate

Most of the time, people prefer to communicate in their own language, even on digital platforms. Amazon Translate is a text translation service. We can provide documents or strings of text in various languages and get it back in a different language. It uses pre-trained deep learning techniques, so we shouldn't be worried about the models, nor how they are managed. We can make API requests and get the results back.

Some common uses of Amazon Translate include the following:

  • If there's an organization-wide requirement to prepare documents in different languages, then Translate is the solution for converting one language into many.
  • Online chat applications can be translated in real time to provide a better customer experience.
  • To localize website content faster and more affordably into more languages.
  • Sentiment analysis can be applied to different languages once they have been translated.
  • To provide non...