Publisher's Synopsis
In Machine Learning Using C#, you'll learn several different approaches to applying machine learning to data analysis and prediction problems. Author James McCaffrey demonstrates different clustering and classification techniques, and explains the many decisions that must be made during development that determine how effective these techniques can be. McCaffrey provides thorough examples of applying k-means clustering to group strictly numerical data, calculating category utility to cluster both qualitative and quantitative information, and even using neural network classification to predict the output of previously unseen data. This updated and expanded second edition of Book provides a user-friendly introduction to the subject, Taking a clear structural framework, it guides the reader through the subject's core elements. A flowing writing style combines with the use of illustrations and diagrams throughout the text to ensure the reader understands even the most complex of concepts. This succinct and enlightening overview is a required reading for all those interested in the subject . We hope you find this book useful in shaping your future career & Business.
