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Clustering and unsupervised learning. Part 4, Introduction to real-world machine learning /
"This course introduces clustering, a common technique used widely in unsupervised machine learning. The course begins by defining what clustering means through graphical explanations, and describes the common applications of clustering. Next, it explores k-means clustering in detail, including...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly,
[2017]
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 005 | 20231017213018.0 | ||
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| 035 | |a (OCoLC)1004966431 | ||
| 037 | |a CL0500000895 |b Safari Books Online | ||
| 050 | 4 | |a Q325.5 | |
| 049 | |a UAMI | ||
| 100 | 1 | |a Staglianò, Alessandra, |e speaker. | |
| 245 | 1 | 0 | |a Clustering and unsupervised learning. |n Part 4, |p Introduction to real-world machine learning / |c with Alessandra Staglianò, Angie Ma, and Gary Willis. |
| 246 | 3 | 0 | |a Introduction to real-world machine learning |
| 264 | 1 | |a [Place of publication not identified] : |b O'Reilly, |c [2017] | |
| 300 | |a 1 online resource (1 streaming video file (36 min., 46 sec.)) | ||
| 336 | |a two-dimensional moving image |b tdi |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 337 | |a video |b v |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 511 | 0 | |a Presenters, Alessandra Staglianò, Angie Ma, and Gary Willis. | |
| 500 | |a Title from title screen (viewed September 26, 2017). | ||
| 500 | |a "Part 4 of 6." | ||
| 500 | |a Date of publication taken from resource description page. | ||
| 520 | |a "This course introduces clustering, a common technique used widely in unsupervised machine learning. The course begins by defining what clustering means through graphical explanations, and describes the common applications of clustering. Next, it explores k-means clustering in detail, including the concepts of distance functions and k-modes; illustrates hierarchical clustering through visual examples of dendrograms, and discusses different types of clustering algorithms. The course ends with a comparison of the performance of different algorithms. An understanding of basic algebra is required and some knowledge of linear algebra will be helpful."--Resource description page | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Regression analysis. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Hierarchical clustering (Cluster analysis) | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 2 | |a Regression Analysis | |
| 650 | 2 | |a Artificial Intelligence | |
| 650 | 6 | |a Analyse de régression. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Intelligence artificielle. | |
| 650 | 7 | |a artificial intelligence. |2 aat | |
| 650 | 7 | |a Artificial intelligence. |2 fast |0 (OCoLC)fst00817247 | |
| 650 | 7 | |a Hierarchical clustering (Cluster analysis) |2 fast |0 (OCoLC)fst01909654 | |
| 650 | 7 | |a Machine learning. |2 fast |0 (OCoLC)fst01004795 | |
| 650 | 7 | |a Regression analysis. |2 fast |0 (OCoLC)fst01432090 | |
| 700 | 1 | |a Ma, Angie, |e speaker. | |
| 700 | 1 | |a Willis, Gary, |e speaker. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/9781492023951/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||