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A Course in Machine Learning

A Course in Machine Learning
Author: Hal Daume III
Url: http://ciml.info/dl/v0_8/ciml-v0_8-all.pdf
Format: Pdf
Year: 2012
Category: Machine Learning
Pages: 189
Clicks: 306

The purpose of this book is to provide a gentle and pedagogically orga- nized introduction to the field. This is in contrast to most existing ma- chine learning texts, which tend to organize things topically, rather than pedagogically (an exception is Mitchell’s book 2 , but unfortu- 2 ? nately that is getting more and more outdated). This makes sense for researchers in the field, but less sense for learners. A second goal of this book is to provide a view of machine learning that focuses on ideas and models, not on math. It is not possible (or even advisable) to avoid math. But math should be there to aid understanding, not hinder it. Finally, this book attempts to have minimal dependencies, so that one can fairly easily pick and choose chapters to read. When dependencies exist, they are listed at the start of the chapter, as well as the list of dependencies at the end of this chapter. The audience of this book is anyone who knows differential calcu- lus and discrete math, and can program reasonably well. (A little bit of linear algebra and probability will not hurt.) An undergraduate in their fourth or fifth semester should be fully capable of understand- ing this material. However, it should also be suitable for first year graduate students, perhaps at a slightly faster pace.

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