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210123 ||| eng |
| 050 |
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4 |
|a Q325.5
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| 100 |
1 |
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|a Joshi, Anupama
|e on-screen presenter
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| 245 |
0 |
0 |
|a Challenges in machine learning from model building to deployment at scale
|c Data Science Salon
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| 260 |
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|a [Seattle, Washington]
|b Data Science Salon
|c 2019
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| 300 |
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|a 1 streaming video file (18 min., 58 sec.)
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| 653 |
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|a Machine learning / fast / (OCoLC)fst01004795
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| 653 |
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|a Information technology / Management / fast / (OCoLC)fst00973112
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| 653 |
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|a Information technology / Management / http://id.loc.gov/authorities/subjects/sh2008006980
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| 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 Electronic commerce / http://id.loc.gov/authorities/subjects/sh96008434
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| 653 |
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|a Consommateurs / Préférences
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| 653 |
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|a Consumers' preferences / http://id.loc.gov/authorities/subjects/sh85031496
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| 653 |
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|a Technologie de l'information / Gestion
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| 653 |
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|a Commerce électronique
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| 653 |
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|a Consumers' preferences / fast / (OCoLC)fst00876441
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| 653 |
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|a Apprentissage automatique
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| 653 |
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|a Electronic commerce / fast / (OCoLC)fst00906906
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 500 |
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|a Title from resource description page (Safari, viewed October 28, 2020). - Place of publication from title screen
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| 856 |
4 |
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|u https://learning.oreilly.com/videos/~/00000KZMJEPAKRXY/?ar
|x Verlag
|3 Volltext
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| 082 |
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|a 381.1
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|a 658
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|a 000
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|a 381
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|a "Presented by Anupama Joshi, Director, AI Engineering at Target. Companies are moving towards AI/Machine learning very fast. Data scientist are building models and training models. But challenges come when deploying models in production. How to maintain multiple models? Creating a common platform that allows model management and deployment easily and reliably is becoming a necessity for organizations to accelerate product development. In this talk, I will talk about the challenges faced and the solutions used to make this process easy."--Resource description page
|