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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 SageMaker for image classification

The field of data science has been revolutionized due to services such as Tensorflow and SageMaker. Complex algorithms, such as deep learning, were only accessible to large corporations and research labs in the past. However, thanks to services such as SageMaker, anyone who can write code to call these services can train and use sophisticated machine learning algorithms. This has enabled teenagers, with a working knowledge of machine learning, to create applications that can perform complex machine learning tasks. You have the power to perform machine learning tasks at the same level as the world's top scientists by accessing state-of-the-art machine learning models in the SageMaker marketplace.

Amazon SageMaker offers a large number of algorithms that data scientists can use to train their machine learning models, and...

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