Essential tools for deep learning and data science
Learn the most important tools in the repertoire of a data scientist and machine learning practitioner - Principal Component Analysis (PCA), Singular Value Decomposition (SVD), and Latent Semantic Analysis (LSA) - with the help of Krishnendu Chaudhury, a deep learning and computer vision expert with...
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| Format: | Video |
| Language: | Inglés |
| Published: |
[Place of publication not identified] :
Manning Publications
[2020]
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| Edition: | [First edition] |
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| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822997506719 |
| Summary: | Learn the most important tools in the repertoire of a data scientist and machine learning practitioner - Principal Component Analysis (PCA), Singular Value Decomposition (SVD), and Latent Semantic Analysis (LSA) - with the help of Krishnendu Chaudhury, a deep learning and computer vision expert with decade-long stints at both Google and Adobe Systems. |
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| Physical Description: | 1 online resource (1 video file (42 min.)) : sound, color |
