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| #896067 in Books | 2015-07-18 | Original language:English | PDF # 1 | 9.25 x.75 x6.10l,1.25 | File type: PDF | 291 pages||2 of 2 people found the following review helpful.| Loved the Book|By Customer|Kubat approaches the field of machine learning in a very mathematical yet intuitive way. The book begins with a conceptual understanding of classification through the use of Johnny's pies and continues to step-by-step build upon this knowledge through each chapter. Although there are programming challenges at the end of most chapters, no actual code|||“Miroslav Kubat's Introduction to Machine Learning is an excellent overview of a broad range of Machine Learning (ML) techniques. It fills a longstanding need for texts that cover the middle ground of neither oversimplifying nor too technical explanatio
This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of “boostin...
You easily download any file type for your gadget.An Introduction to Machine Learning | Miroslav Kubat. I really enjoyed this book and have already told so many people about it!
