Machine learning: theory and applications
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
North Holland
2013
|
| Schriftenreihe: | Handbook of statistics (Amsterdam, Netherlands)
31 |
| Schlagworte: | |
| Online-Zugang: | FAW01 URL des Erstveröffentlichers |
| Beschreibung: | Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size of heterogeneous data collections and the ability to process it even from physically distant locations. Recent advances made in the field of Machine Learning provide a strong framework for robust learning from the diverse corpora and continue to impact a variety of research problems across multiple scientific disciplines. The aim of this handbook is to familiarize beginners as well as experts with some of the recent techniques in this field. The proposed handbook is divided in two sections: Theory and Applications. very relevant to current research challenges faced in various fieldsself-contained reference to machine learning emphasis on applications-oriented techniques |
| ISBN: | 9780444538666 0444538666 9780444538598 0444538593 |
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| discipline | Informatik |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:51:35Z |
| institution | BVB |
| isbn | 9780444538666 0444538666 9780444538598 0444538593 |
| language | English |
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| spelling | Machine learning theory and applications volume editor, C. Radhakrishna Rao, Venu Govindaraju Amsterdam North Holland 2013 txt rdacontent c rdamedia cr rdacarrier Handbook of statistics (Amsterdam, Netherlands) 31 Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size of heterogeneous data collections and the ability to process it even from physically distant locations. Recent advances made in the field of Machine Learning provide a strong framework for robust learning from the diverse corpora and continue to impact a variety of research problems across multiple scientific disciplines. The aim of this handbook is to familiarize beginners as well as experts with some of the recent techniques in this field. The proposed handbook is divided in two sections: Theory and Applications. very relevant to current research challenges faced in various fieldsself-contained reference to machine learning emphasis on applications-oriented techniques COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Machine learning fast Machine learning Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 s 1\p DE-604 Rao, C. Radhakrishna Sonstige oth Govindaraju, Venugopal Sonstige oth http://www.sciencedirect.com/science/handbooks/01697161/31 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Machine learning theory and applications COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Machine learning fast Machine learning Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4193754-5 |
| title | Machine learning theory and applications |
| title_auth | Machine learning theory and applications |
| title_exact_search | Machine learning theory and applications |
| title_full | Machine learning theory and applications volume editor, C. Radhakrishna Rao, Venu Govindaraju |
| title_fullStr | Machine learning theory and applications volume editor, C. Radhakrishna Rao, Venu Govindaraju |
| title_full_unstemmed | Machine learning theory and applications volume editor, C. Radhakrishna Rao, Venu Govindaraju |
| title_short | Machine learning |
| title_sort | machine learning theory and applications |
| title_sub | theory and applications |
| topic | COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Machine learning fast Machine learning Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | COMPUTERS / Enterprise Applications / Business Intelligence Tools COMPUTERS / Intelligence (AI) & Semantics Machine learning Maschinelles Lernen |
| url | http://www.sciencedirect.com/science/handbooks/01697161/31 |
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