Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/807| Title: | Effective Amazon Machine Learning |
| Other Titles: | Machine learning in the Cloud |
| Authors: | Perrier, Alexis |
| Keywords: | Effective Amazon Machine Learning |
| Issue Date: | Apr-2017 |
| Publisher: | Packt Publishing |
| Series/Report no.: | 1210417; |
| Abstract: | Big data and artificial intelligence are ubiquitous part of our everyday lives, fostering a rising, billion-dollar, cloud-based Machine Learning as a Service (MLaaS) industry. Among the several Machine Learning as a Service platforms currently on the market, Amazon Machine Learning stands out for its simplicity. Amazon Machine Learning was launched in April 2015 with a clear goal of lowering the barrier to predictive analytic by offering a service accessible to companies without the need for highly skilled technical resources, while balancing performance and costs. When combined with the depth of the AWS ecosystem, the Amazon Machine Learning platform makes predictive analytics a natural element of the business data pipeline. |
| URI: | http://hdl.handle.net/123456789/807 |
| ISSN: | 978-1-78588-323-1 |
| Appears in Collections: | E-Books |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Effective Amazon Machine Learning.pdf | 15.98 MB | Adobe PDF | View/Open |
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