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An Introduction to Machine Learning
Miroslav Kubat
[PDF.it63] An Introduction to Machine Learning
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| #1081233 in Books | 2015-07-18 | Original language:English | PDF # 1 | 9.21 x.75 x6.14l,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...
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