| Description |
xxi, 256 pages : illustrations ; 24 cm |
| Note |
Includes index |
| Contents |
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 |
| Summary |
"Machine learning can deliver hugs benefits for everyday business tasks. With some guidance, you can get those big wins yourself without complex math or highly paid consultants! If you can crunch numbers in Excel, you can use modern ML services to efficiently direct marketing dollars, identify and keep your best customers, and optimize back office processes. This book shows you how. "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 your success, you'll use the Amazon SageMaker ML service, which makes it a snap to turn your questions into results."-- Provided by publisher |
| Subject |
Machine learning.
|
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Artificial intelligence -- Industrial applications.
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Business enterprises -- Technological innovations.
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Industrial productivity -- Automation.
|
| Added Author |
Nichol, Richard, author.
|
| Added Title |
Using Amazon SageMaker and Jupyter |
| ISBN |
9781617295836 |
|
1617295833 |
|
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