AWS New York Summit 2018 - Threat Detection and Mitigation at Scale on AWS (SID301)
1 022
28.4
Amazon Web Services776 тыс
Следующее
Опубликовано 23 июля 2018, 21:39
Learn more about AWS at - amzn.to/2n7GMdW.
Organizations are using machine learning (ML) to address a host of
business challenges, from product recommendations to demand forecasting. Until recently, developing these ML models took much time and effort, and it required expertise. In this session, we introduce Amazon SageMaker, a fully managed ML service that enables developers and data scientists to develop and deploy deep learning models quickly and easily. We walk through the features and benefits of Amazon SageMaker and discuss the uniquely designed ML algorithms that allow for optimized model training, getting you to production fast.
Organizations are using machine learning (ML) to address a host of
business challenges, from product recommendations to demand forecasting. Until recently, developing these ML models took much time and effort, and it required expertise. In this session, we introduce Amazon SageMaker, a fully managed ML service that enables developers and data scientists to develop and deploy deep learning models quickly and easily. We walk through the features and benefits of Amazon SageMaker and discuss the uniquely designed ML algorithms that allow for optimized model training, getting you to production fast.
Свежие видео
4 дня – 1 0960:56
5 дней – 137 14926:46
13 дней – 1 0460:51
16 дней – 2 0830:24
17 дней – 4 6680:58Случайные видео
42 дня – 2 0180:37
83 дня – 3 8640:23
193 дня – 1 1980:05
272 дня – 6 1933:15
07.01.23 – 104 6099:19
25.04.14 – 337 3819:55
1 день – 191 9019:06
2 дня – 1093:44
3 дня – 028:25
3 дня – 3 2351:05:03
4 дня – 141 39937:21
4 дня – 12 7401:25
3 дня – 4 80215:18