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| Title Details: | |
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Artificial Intelligence Libraries |
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| Authors: |
Perakis, Konstantinos Dasygenis, Minas |
| Reviewer: |
Avouris, Nikolaos |
| Description: | |
| Abstract: |
Considering Python to be one of the most suitable languages for Artificial Intelligence and Machine Learning applications, the sixth chapter introduces the most renowned libraries in these scientific fields. With the presentation of Scikit-Learn, the chapter showcases scripts for linear regression, classification, and clustering. This is followed by TensorFlow from Google Brain, Google's artificial intelligence team, and Keras, which is considered more user-friendly for applications involving neural networks. The essential bibliography provided at the end of the chapter serves to support further exploration and study.
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| Linguistic Editors: |
Kagiadaki, Sofia |
| Graphic Editors: |
Kagiadaki, Sofia |
| Type: |
Chapter |
| Creation Date: | 15-05-2024 |
| Item Details: | |
| License: |
Attribution - NonCommercial - ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
| Handle | http://hdl.handle.net/11419/13362 |
| Bibliographic Reference: | Perakis, K., & Dasygenis, M. (2024). Artificial Intelligence Libraries [Chapter]. In Perakis, K., & Dasygenis, M. 2024. Python Toolbox [Undergraduate textbook]. Kallipos, Open Academic Editions. https://hdl.handle.net/11419/13362 |
| Language: |
Greek |
| Is Part of: |
Python Toolbox |
| Publication Origin: |
Kallipos, Open Academic Editions |