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Mastering Machine Learning on AWS

Mastering Machine Learning on AWS

By : Dr. Saket S.R. Mengle , Maximo Gurmendez
4.3 (8)
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Mastering Machine Learning on AWS

Mastering Machine Learning on AWS

4.3 (8)
By: Dr. Saket S.R. Mengle , Maximo Gurmendez

Overview of this book

Amazon Web Services (AWS) is constantly driving new innovations that empower data scientists to explore a variety of machine learning (ML) cloud services. This book is your comprehensive reference for learning and implementing advanced ML algorithms in AWS cloud. As you go through the chapters, you’ll gain insights into how these algorithms can be trained, tuned, and deployed in AWS using Apache Spark on Elastic Map Reduce (EMR), SageMaker, and TensorFlow. While you focus on algorithms such as XGBoost, linear models, factorization machines, and deep nets, the book will also provide you with an overview of AWS as well as detailed practical applications that will help you solve real-world problems. Every application includes a series of companion notebooks with all the necessary code to run on AWS. In the next few chapters, you will learn to use SageMaker and EMR Notebooks to perform a range of tasks, right from smart analytics and predictive modeling through to sentiment analysis. By the end of this book, you will be equipped with the skills you need to effectively handle machine learning projects and implement and evaluate algorithms on AWS.
Table of Contents (24 chapters)
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1
Section 1: Machine Learning on AWS
3
Section 2: Implementing Machine Learning Algorithms at Scale on AWS
9
Section 3: Deep Learning
13
Section 4: Integrating Ready-Made AWS Machine Learning Services
17
Section 5: Optimizing and Deploying Models through AWS
Appendix: Getting Started with AWS

Introducing Amazon Rekognition

Building image recognition models using deep learning is very challenging. First, you need a large, labeled dataset in order to train the deep learning model to perform specific tasks. Second, you require knowledge of how to design a network and tune the parameters in order to get the best accuracy. Finally, training such deep learning models at scale requires expensive GPU-based clusters to train them.

Amazon Rekognition (https://aws.amazon.com/rekognition/) is a tool offered by AWS featuring image recognition models that are already pretrained for use in your applications. Amazon Rekognition models are based on an analysis of billions of videos and images. Similar to how Amazon Comprehend offers NLP models as a service, Rekognition offers various image recognition models that can perform specific tasks. The advantage of using Amazon Rekognition...

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