Enhancing business intelligence with PyMC3
Michael Grogan is a data scientist with expertise in TensorFlow and time series analysis. He will teach you how to use PyMC3 to generate a posterior distribution of hotel cancellations. This will allow you to build a predictive model that can update its predicted probabilities by incorporating new i...
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| Formato: | Video |
| Idioma: | Inglés |
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[Place of publication not identified] :
Manning Publications
2021.
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| Edición: | [First edition] |
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009820363006719 |
| Sumario: | Michael Grogan is a data scientist with expertise in TensorFlow and time series analysis. He will teach you how to use PyMC3 to generate a posterior distribution of hotel cancellations. This will allow you to build a predictive model that can update its predicted probabilities by incorporating new information. |
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| Descripción Física: | 1 online resource (1 video file (30 min.)) : sound, color |
