Machine learning for business using Amazon SageMaker and Jupyter
Machine Learning for Business teaches business-oriented machine learning techniques you can do yourself. Concentrating on practical topics like customer retention, forecasting, and back office processes, you’ll work through six projects that help you form an ML-for-business mindset. To guarantee you...
Otros Autores: | , |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Shelter Island, New York :
Manning Publications
[2020]
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Edición: | 1st edition |
Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631163306719 |
Tabla de Contenidos:
- Part 1. Machine learning for business. How machine learning applies to your business
- Part 2. Six scenarios: machine learning for business. Should you send a purchase order to a technical approver?
- Should you call a customer because they are at risk of churning?
- Should an incident be escalated to your support team?
- Should you question an invoice sent by a supplier?
- Forecasting your company's monthly power usage
- Improving your company's monthly power usage forecast
- Part 3. Moving machine learning into production. Serving predictions over the web
- Case studies.