Big data and artificial intelligence are ubiquitous part of our everyday lives, fostering a rising, billion-dollar, cloud-based Machine Learning as a Service (MLaaS) industry.
Among the several Machine Learning as a Service platforms currently on the market, Amazon Machine Learning stands out for its simplicity. Amazon Machine Learning was launched in April 2015 with a clear goal of lowering the barrier to predictive analytic by offering a service accessible to companies without the need for highly skilled technical resources, while balancing performance and costs. When combined with the depth of the AWS ecosystem, the Amazon Machine Learning platform makes predictive analytics a natural element of the business data pipeline.
 This book follows the simplification approach of Amazon Machine Learning with two goals: to give you the core data science knowledge needed to use the service to its full potential and to give you the keys to building a fully featured data pipeline centered around predictive analytics, effectively making predictive analytics the driver of your data driven applications.
