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Item Details
| Title:
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A FIRST COURSE IN MACHINE LEARNING
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| By: |
Mark Girolami |
| Format: |
Electronic book text |
| List price:
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£42.99 |
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We believe that this item is permanently unavailable, and so we cannot source
it.
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| ISBN 10: |
1439892334 |
| ISBN 13: |
9781439892336 |
| Publisher: |
TAYLOR & FRANCIS LTD |
| Pub. date: |
28 October, 2011 |
| Pages: |
305 |
| Synopsis: |
A First Course in Machine Learning covers the core mathematical and statistical techniques needed to understand some of the most popular machine learning algorithms. The algorithms presented span the main problem areas within machine learning: classification, clustering and projection. The text gives detailed descriptions and derivations for a small number of algorithms rather than cover many algorithms in less detail.Referenced throughout the text and available on a supporting website (http://bit.ly/firstcourseml), an extensive collection of MATLAB (R)/Octave scripts enables students to recreate plots that appear in the book and investigate changing model specifications and parameter values. By experimenting with the various algorithms and concepts, students see how an abstract set of equations can be used to solve real problems.Requiring minimal mathematical prerequisites, the classroom-tested material in this text offers a concise, accessible introduction to machine learning. It provides students with the knowledge and confidence to explore the machine learning literature and research specific methods in more detail. |
| Illustrations: |
8 Tables, black and white; 124 Illustrations, black and white |
| Publication: |
UK |
| Imprint: |
Chapman & Hall/CRC |
| Returns: |
Non-returnable |
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