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210123 ||| eng |
| 050 |
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4 |
|a Q325.5
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| 100 |
1 |
|
|a Bilgin, Asli
|
| 245 |
0 |
0 |
|a Amazon machine learning
|c Asli Bilgin
|
| 260 |
|
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|a [Place of publication not identified]
|b Pearson
|c 2019
|
| 300 |
|
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|a 1 streaming video file (3 hr., 23 min., 29 sec.)
|
| 653 |
|
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|a Machine learning / http://id.loc.gov/authorities/subjects/sh85079324
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| 653 |
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|a Big data / http://id.loc.gov/authorities/subjects/sh2012003227
|
| 653 |
|
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|a Infonuagique
|
| 653 |
|
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|a Amazon Web Services (Firm) / http://id.loc.gov/authorities/names/no2015140713
|
| 653 |
|
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|a Données volumineuses
|
| 653 |
|
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|a Cloud computing / http://id.loc.gov/authorities/subjects/sh2008004883
|
| 653 |
|
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|a Apprentissage automatique
|
| 653 |
|
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|a Big data / fast / (OCoLC)fst01892965
|
| 653 |
|
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|a Amazon Web Services (Firm) / fast / (OCoLC)fst01974501
|
| 653 |
|
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|a Cloud computing / fast / (OCoLC)fst01745899
|
| 653 |
|
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|a Machine learning / fast / (OCoLC)fst01004795
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
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|b OREILLY
|a O'Reilly
|
| 490 |
0 |
|
|a LiveLessons
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| 500 |
|
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|a Title from title screen (viewed June 6, 2019)
|
| 856 |
4 |
0 |
|u https://learning.oreilly.com/videos/~/9780134850672/?ar
|x Verlag
|3 Volltext
|
| 082 |
0 |
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|a 000
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| 520 |
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|a "Amazon Machine Learning LiveLessons is designed to provide a solid foundational understanding of the data preparation and evaluation that's necessary to run predictive analysis with Machine Learning models. The course covers the concepts necessary to understand Amazon Machine Learning and teaches the user how to leverage the benefits of predictive analysis. Usage scenarios are provided to inspire viewers to create their own value-added services on top of Amazon Machine Learning. Amazon Machine Learning LiveLessons contains more than 20 independent video lessons totaling more than 3 hours of instruction with demos, interactive labs, and detailed slide explanations. Hands-on labs with Amazon Machine Learning are included to provide necessary context and experience to create pragmatic applications. Viewers will walk away with a solid understanding of how Amazon Machine Learning is structured and how to apply it in their own scenarios."--Resource description page
|
