Get introduced to Microsoft’s new open source, cross-platform machine learning framework, ML.NET. ML.NET is a bold attempt to democratize machine learning so it enables as many developers as possible. You will learn how it is designed to encapsulate complex algorithms so it is easy to consume them in many application settings without worrying about the internal details. You will learn the features that do the necessary “plumbing” that is required in a varieties of machine learning problems, allowing you to focus on your applications. You will understand that while the infrastructure pieces may appear to be disconnected and haphazard at first, they are not. Developers who are curious about trying machine learning, yet shying away from it due to its perceived complexity, will benefit from this book as it will help you make sense of it all and inspire you to try out scenarios and code samples that can be used in many real-world situations. Developers who want to learn how to use and apply machine learning to enrich their applications weiterlesen