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

Speech to text with Amazon Transcribe

In the previous section, we learned about text to speech. In this section, we will learn about speech to text and the service that provides this: Amazon Transcribe. It is an automatic speech recognition service that uses pre-trained deep learning models, which means that we don't have to train on petabytes of data to produce a model; Amazon does this for us. We just have to use the APIs that are available to transcribe audio files or video files; it supports a number of different languages and custom vocabulary too. Accuracy is the key and through custom vocabulary, you can enhance it based on the desired domain or industry:

Figure 2.12 – Block diagram of Amazon Transcribe's input and output

Some common uses of Amazon Transcribe include the following:

  • Real-time audio streaming and transcription.
  • Transcripting pre-recorded audio files.
  • Enable text searching from a media file by combining...