Machine learning: a journey to deep learning : with exercises and answers
This unique compendium discusses some core ideas for the development and implementation of machine learning from three different perspectives - the statistical perspective, the artificial neural network perspective and the deep learning methodology. The useful reference text represents a solid found...
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| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New Jersey ; London ; Singapore
World Scientific
[2021]
|
| Subjects: | |
| Online Access: | DE-573 DE-91 Volltext |
| Summary: | This unique compendium discusses some core ideas for the development and implementation of machine learning from three different perspectives - the statistical perspective, the artificial neural network perspective and the deep learning methodology. The useful reference text represents a solid foundation in machine learning and should prepare readers to apply and understand machine learning algorithms as well as to invent new machine learning methods. It tells a story outgoing from a perceptron to deep learning highlighted with concrete examples, including exercises and answers for the students. |
| Physical Description: | 1 Online-Ressource (xvi, 624 Seiten) |
| ISBN: | 9789811234064 9789811234071 |
| DOI: | 10.1142/12201 |
Staff View
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| spelling | Wichert, Andreas Verfasser (DE-588)1081491957 aut Machine learning a journey to deep learning : with exercises and answers Andreas Wichert, Luis Sa-Couto New Jersey ; London ; Singapore World Scientific [2021] © 2021 1 Online-Ressource (xvi, 624 Seiten) txt rdacontent c rdamedia cr rdacarrier This unique compendium discusses some core ideas for the development and implementation of machine learning from three different perspectives - the statistical perspective, the artificial neural network perspective and the deep learning methodology. The useful reference text represents a solid foundation in machine learning and should prepare readers to apply and understand machine learning algorithms as well as to invent new machine learning methods. It tells a story outgoing from a perceptron to deep learning highlighted with concrete examples, including exercises and answers for the students. Machine learning Deep Learning (DE-588)1135597375 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Electronic books Maschinelles Lernen (DE-588)4193754-5 s Deep Learning (DE-588)1135597375 s DE-604 Sa-Couto, Luis Verfasser aut Erscheint auch als Druck-Ausgabe, Hardcover 978-981-123-405-7 https://doi.org/10.1142/12201 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Wichert, Andreas Sa-Couto, Luis Machine learning a journey to deep learning : with exercises and answers Machine learning Deep Learning (DE-588)1135597375 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)1135597375 (DE-588)4193754-5 |
| title | Machine learning a journey to deep learning : with exercises and answers |
| title_auth | Machine learning a journey to deep learning : with exercises and answers |
| title_exact_search | Machine learning a journey to deep learning : with exercises and answers |
| title_exact_search_txtP | Machine learning a journey to deep learning : with exercises and answers |
| title_full | Machine learning a journey to deep learning : with exercises and answers Andreas Wichert, Luis Sa-Couto |
| title_fullStr | Machine learning a journey to deep learning : with exercises and answers Andreas Wichert, Luis Sa-Couto |
| title_full_unstemmed | Machine learning a journey to deep learning : with exercises and answers Andreas Wichert, Luis Sa-Couto |
| title_short | Machine learning |
| title_sort | machine learning a journey to deep learning with exercises and answers |
| title_sub | a journey to deep learning : with exercises and answers |
| topic | Machine learning Deep Learning (DE-588)1135597375 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Machine learning Deep Learning Maschinelles Lernen |
| url | https://doi.org/10.1142/12201 |
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