Put the power of AWS Cloud machine learning services to work in your
business and commercial applications!
Machine Learning in the AWS Cloud introduces readers to the machine
learning (ML) capabilities of the Amazon Web Services ecosystem and
provides practical examples to solve real-world regression and
classification problems. While readers do not need prior ML experience,
they are expected to have some knowledge of Python and a basic knowledge
of Amazon Web Services.
Part One introduces readers to fundamental machine learning concepts.
You will learn about the types of ML systems, how they are used, and
challenges you may face with ML solutions. Part Two focuses on machine
learning services provided by Amazon Web Services. You'll be introduced
to the basics of cloud computing and AWS offerings in the cloud-based
machine learning space. Then you'll learn to use Amazon Machine Learning
to solve a simpler class of machine learning problems, and Amazon
SageMaker to solve more complex problems.
- Learn techniques that allow you to preprocess data, basic feature
engineering, visualizing data, and model building
- Discover common neural network frameworks with Amazon SageMaker
- Solve computer vision problems with Amazon Rekognition
- Benefit from illustrations, source code examples, and sidebars in
each chapter
The book appeals to both Python developers and technical/solution
architects. Developers will find concrete examples that show them how to
perform common ML tasks with Python on AWS. Technical/solution
architects will find useful information on the machine learning
capabilities of the AWS ecosystem.
