Machine learning: theory and practice
"Machine Learning: Theory and Practice provides an introduction to the most popular methods in machine learning. The book covers regression including regularization, tree-based methods including Random Forests and Boosted Trees, Artificial Neural Networks including Convolutional Neural Networks...
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton ; London ; New York
CRC Press
2023
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| Edition: | First edition |
| Series: | A Chapman & Hall Book |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Summary: | "Machine Learning: Theory and Practice provides an introduction to the most popular methods in machine learning. The book covers regression including regularization, tree-based methods including Random Forests and Boosted Trees, Artificial Neural Networks including Convolutional Neural Networks (CNNs), reinforcement learning, and unsupervised learning focused on clustering. Topics are introduced in a conceptual manner along with necessary mathematical details. The explanations are lucid, illustrated with figures and examples. For each machine learning method discussed, the book presents appropriate libraries in the R programming language along with programming examples"-- |
| Item Description: | Literaturverzeichnis: Seite 275-277 |
| Physical Description: | xv, 282 Seiten Illustrationen, Diagramme |
| ISBN: | 9780367433529 |
Staff View
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Record in the Search Index
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| author | Kalita, Jugal Kumar |
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| dewey-full | 006.3/1 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
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| dewey-sort | 16.3 11 |
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| discipline | Informatik |
| edition | First edition |
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| id | DE-604.BV050129979 |
| illustrated | Illustrated |
| indexdate | 2025-03-31T18:08:17Z |
| institution | BVB |
| isbn | 9780367433529 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035466674 |
| oclc_num | 1378086948 |
| open_access_boolean | |
| owner | DE-706 |
| owner_facet | DE-706 |
| physical | xv, 282 Seiten Illustrationen, Diagramme |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | CRC Press |
| record_format | marc |
| series2 | A Chapman & Hall Book |
| spelling | Kalita, Jugal Kumar Verfasser (DE-588)1038035732 aut Machine learning theory and practice Jugal Kalita First edition Boca Raton ; London ; New York CRC Press 2023 xv, 282 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Literaturverzeichnis: Seite 275-277 "Machine Learning: Theory and Practice provides an introduction to the most popular methods in machine learning. The book covers regression including regularization, tree-based methods including Random Forests and Boosted Trees, Artificial Neural Networks including Convolutional Neural Networks (CNNs), reinforcement learning, and unsupervised learning focused on clustering. Topics are introduced in a conceptual manner along with necessary mathematical details. The explanations are lucid, illustrated with figures and examples. For each machine learning method discussed, the book presents appropriate libraries in the R programming language along with programming examples"-- Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Machine learning Maschinelles Lernen (DE-588)4193754-5 s DE-604 Äquivalent Druck-Ausgabe, Hardcover 978-0-367-43354-3 Erscheint auch als Online-Ausgabe 978-1-003-00261-1 B:DE-89 V:DE-601 pdf/application https://www.gbv.de/dms/tib-ub-hannover/1821223152.pdf 2023-10-25 Inhaltsverzeichnis |
| spellingShingle | Kalita, Jugal Kumar Machine learning theory and practice Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4193754-5 |
| title | Machine learning theory and practice |
| title_auth | Machine learning theory and practice |
| title_exact_search | Machine learning theory and practice |
| title_full | Machine learning theory and practice Jugal Kalita |
| title_fullStr | Machine learning theory and practice Jugal Kalita |
| title_full_unstemmed | Machine learning theory and practice Jugal Kalita |
| title_short | Machine learning |
| title_sort | machine learning theory and practice |
| title_sub | theory and practice |
| topic | Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Maschinelles Lernen |
| url | https://www.gbv.de/dms/tib-ub-hannover/1821223152.pdf |
| work_keys_str_mv | AT kalitajugalkumar machinelearningtheoryandpractice |