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Effective Amazon Machine Learning by Alexis Perrier

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What this book covers

Chapter 1, Introduction to Machine Learning and Predictive Analytics, this introductory chapter is a general presentation of the Amazon Machine Learning service and the types of predictive analytics problems it can address. We show how the service uses a simple linear model for regression and classification problems, and we present the context for successful predictions with Amazon Machine Learning.

Chapter 2, Machine Learning Definitions and Concepts, this chapter explains the machine learning concepts needed to use the Amazon Machine Learning service and fully understand how it works. What are the preparation techniques used when dealing with raw data? How do we evaluate a predictive model? What strategies are available ...

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