Screen LibraryMachine learning in the aws cloud/
Recent advances in storage, CPU, and GPU technology, coupled with the ease with which you can create virtual computing resources in the cloud, and the availability of Python libraries such as Pandas, Matplotlib, TensorFlow, and Scikit-learn, have made it possible to build and deploy machine learning...
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| Main Authors: | |
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| Corporate Authors: | |
| Published: |
John Wiley and Sons,
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| Publisher Address: | Indianapolis, IN : |
| Publication Dates: | 2019. |
| Literature type: | eBook |
| Language: | English |
| Subjects: | |
| Online Access: |
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119556749 |
| Summary: |
Recent advances in storage, CPU, and GPU technology, coupled with the ease with which you can create virtual computing resources in the cloud, and the availability of Python libraries such as Pandas, Matplotlib, TensorFlow, and Scikit-learn, have made it possible to build and deploy machine learning (ML) systems at scale and get results in real-time. "Machine learning in the AWS Cloud" offers an introduction to the machine learning capabilities of the Amazon Web Services ecosystem. The book is filled with illustrative examples that are designed to help with solutions to real-world regression and classification challenges. While prior experience with ML is not a requirement, some knowledge of Python and a basic knowledge of Amazon Web Services is a plus. |
| Item Description: | Description based on print version record. |
| Carrier Form: |
1 online resource (xxvii, 499 pages) : illustrations Also available in print. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9781119556749 (electronic bk.) 9781119556718 |
| CLC: | TP181 |