The Shallow and the Deep
The Shallow and the Deep is a collection of lecture notes that offers an accessible introduction to neural networks and machine learning in general. However, it was clear from the beginning that these notes would not be able to cover this rapidly changing and growing field in its entirety. The focus...
שמור ב:
| מחבר ראשי: | |
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| פורמט: | Online |
| שפה: | אנגלית |
| יצא לאור: |
University of Groningen Press
2024
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| נושאים: | |
| גישה מקוונת: | https://library.oapen.org/handle/20.500.12657/93936 |
| תגים: |
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
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| _version_ | 1869520370235604992 |
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| author | Biehl, Michael |
| author_browse | Biehl, Michael |
| author_facet | Biehl, Michael |
| author_sort | Biehl, Michael |
| collection | Directory of Open Access Books |
| description | The Shallow and the Deep is a collection of lecture notes that offers an accessible introduction to neural networks and machine learning in general. However, it was clear from the beginning that these notes would not be able to cover this rapidly changing and growing field in its entirety. The focus lies on classical machine learning techniques, with a bias towards classification and regression. Other learning paradigms and many recent developments in, for instance, Deep Learning are not addressed or only briefly touched upon.
Biehl argues that having a solid knowledge of the foundations of the field is essential, especially for anyone who wants to explore the world of machine learning with an ambition that goes beyond the application of some software package to some data set. Therefore, The Shallow and the Deep places emphasis on fundamental concepts and theoretical background. This also involves delving into the history and pre-history of neural networks, where the foundations for most of the recent developments were laid. These notes aim to demystify machine learning and neural networks without losing the appreciation for their impressive power and versatility. |
| format | Online |
| id | doab-20.500.12854ir-146429 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | University of Groningen Press |
| publisherStr | University of Groningen Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1464292024-10-24T04:15:37Z The Shallow and the Deep Biehl, Michael Neural networks; Machine learning; Computational Intelligence; Computer Science thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::U Computing and Information Technology::UY Computer science The Shallow and the Deep is a collection of lecture notes that offers an accessible introduction to neural networks and machine learning in general. However, it was clear from the beginning that these notes would not be able to cover this rapidly changing and growing field in its entirety. The focus lies on classical machine learning techniques, with a bias towards classification and regression. Other learning paradigms and many recent developments in, for instance, Deep Learning are not addressed or only briefly touched upon. Biehl argues that having a solid knowledge of the foundations of the field is essential, especially for anyone who wants to explore the world of machine learning with an ambition that goes beyond the application of some software package to some data set. Therefore, The Shallow and the Deep places emphasis on fundamental concepts and theoretical background. This also involves delving into the history and pre-history of neural networks, where the foundations for most of the recent developments were laid. These notes aim to demystify machine learning and neural networks without losing the appreciation for their impressive power and versatility. 2024-10-24T04:15:34Z 2024-10-24T04:15:34Z 2024-10-23T11:36:56Z 2023 book https://library.oapen.org/handle/20.500.12657/93936 9789403430287 https://directory.doabooks.org/handle/20.500.12854/146429 eng open access image/jpeg Attribution-NonCommercial-ShareAlike 4.0 International https://library.oapen.org/bitstream/20.500.12657/93936/1/The%20Shallow%20and%20the%20Deep.pdf University of Groningen Press 10.21827/648c59c1a467e 10.21827/648c59c1a467e 8ff9ef23-7540-4335-b7ba-f3a6ae86cca4 9789403430287 294 Groningen open access |
| spellingShingle | Neural networks; Machine learning; Computational Intelligence; Computer Science thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::U Computing and Information Technology::UY Computer science Biehl, Michael The Shallow and the Deep |
| title | The Shallow and the Deep |
| title_full | The Shallow and the Deep |
| title_fullStr | The Shallow and the Deep |
| title_full_unstemmed | The Shallow and the Deep |
| title_short | The Shallow and the Deep |
| title_sort | shallow and the deep |
| topic | Neural networks; Machine learning; Computational Intelligence; Computer Science thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::U Computing and Information Technology::UY Computer science |
| topic_facet | Neural networks; Machine learning; Computational Intelligence; Computer Science thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::U Computing and Information Technology::UY Computer science |
| url | https://library.oapen.org/handle/20.500.12657/93936 |
| work_keys_str_mv | AT biehlmichael theshallowandthedeep AT biehlmichael shallowandthedeep |