A first course in machine learning / (Record no. 57005)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02345nam a2200205 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781498738484 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Item number | ROG/F |
| 100 1# - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Rogers, Simon, |
| 245 12 - TITLE STATEMENT | |
| Title | A first course in machine learning / |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Boca Raton : |
| Name of publisher | CRC Press, |
| Year of publication | 2012 . |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xx, 285 p. : |
| Other physical details | ill. ; |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "Machine Learning is rapidly becoming one of the most important areas of general practice, research and development activity within Computing Sci- ence. This is re ected in the scale of the academic research area devoted to the subject and the active recruitment of Machine Learning specialists by major international banks and nancial institutions as well as companies such as Microsoft, Google, Yahoo and Amazon. This growth can be partly explained by the increase in the quantity and diversity of measurements we are able to make of the world. A particularly fascinating example arises from the wave of new biological measurement technologies that have preceded the sequencing of the first genomes. It is now possible to measure the detailed molecular state of an organism in manners that would have been hard to imagine only a short time ago. Such measurements go far beyond our understanding of these organisms and Machine Learning techniques have been heavily involved in the distillation of useful structure from them. This book is based on material taught on a Machine Learning course in the School of Computing Science at the University of Glasgow, UK. The course, presented to nal year undergraduates and taught postgraduates, is made up of 20 hour-long lectures and 10 hour-long laboratory sessions. In such a short teaching period, it is impossible to cover more than a small fraction of the material that now comes under the banner of Machine Learning. Our inten- tion when teaching this course therefore, is to present the core mathematical and statistical techniques required to understand some of the most popular Machine Learning algorithms and then present a few of these algorithms that span the main problem areas within Machine Learning: classi cation, clus- tering"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Machine learning. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | BUSINESS & ECONOMICS / Statistics. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | COMPUTERS / General. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | COMPUTERS / Database Management / Data Mining. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Girolami, Mark, |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | BK |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Withdrawn status | |
| Lost status | |
| Damaged status | |
| Current library | |
| Home library | Shelving location | Date acquired | Full call number | Accession Number | Koha item type |
|---|---|---|---|---|---|
| Kannur University Central Library | Stack | 16/04/2019 | 006.31 ROG/F | 49702 | BK |