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Zero to One : Data Science to MLOps /
Zero to One: Data Science to MLOps in One Hour. Learn to frame a problem, then convert it into a data science project and present it to stakeholders. Later, move that prediction system to producting using MLOps Topics include: * Big Tech Misinformation and what can be done about it using Data Scienc...
| Autores principales: | , |
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| Autor Corporativo: | |
| Formato: | Video |
| Idioma: | Inglés |
| Publicado: |
[Erscheinungsort nicht ermittelbar] :
Pragmatic AI Solutions,
2021
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| Edición: | 1st edition. |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
| Sumario: | Zero to One: Data Science to MLOps in One Hour. Learn to frame a problem, then convert it into a data science project and present it to stakeholders. Later, move that prediction system to producting using MLOps Topics include: * Big Tech Misinformation and what can be done about it using Data Science. * Doing MLOps with sklearn and Flask by creating Microservices * Using sklearn, pandas, plotly, matplotlib, KMeans clustering, ELI5, shap and other libraries * Putting code into production using the Python MLOps Cookbook found here: https://github.com/noahgift/data-story-telling. |
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| Notas: | Online resource; Title from title screen (viewed March 20, 2021). |
| Descripción Física: | 1 online resource (1 video file, circa 1 hr., 13 min.) |