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1 mayo 2019, 10:53
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Learning Amazon SageMaker
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours 11M | 189 MB
Genre: eLearning | Language: English
SageMaker is Amazon's solution for developers who want to deploy predictive machine learning models into a production environment. Programming is done in Python and the results can easily be integrated into cloud-based applications. These lessons review the entire Amazon SageMaker workflow: analysis, build, and final deployment. Instructor Martin Kemka introduces the benefits of Amazon SageMaker and reviews its browser-based interface and toolset. In the second chapter, he shows how to import, investigate, visualize, and summarize your data. The next stage is to use a clean data sample to train a machine learning model to fulfill a basic task. Finally, Martin shows how the model is deployed. Almost every chapter concludes with a challenge that allows you to practice your new SageMaker skills.
https://i109.fastpic.ru/big/2019/0501/f7/634613ada1c2a4d988e12009ccb723f7.jpg
Download (*********)
https://*********.com/file/download/7f7bd13b83Ac488e/q9w9k.Learning.Amazon.SageMaker.part1.rar
https://*********.com/file/download/e5a3f487d2ac3a79/q9w9k.Learning.Amazon.SageMaker.part2.rar
Download ( Rapidgator )
https://rapidgator.net/file/3fd138b75baeb99efab9839500866214/q9w9k.Learning.Amazon.SageMaker.part1.rar
https://rapidgator.net/file/45c9949ee0311e45976557073b1cc7eb/q9w9k.Learning.Amazon.SageMaker.part2.rar
Download ( NitroFlare )
http://nitroflare.com/view/56AFB6AEC550561/q9w9k.Learning.Amazon.SageMaker.part1.rar
http://nitroflare.com/view/F49E4B4B2E9A897/q9w9k.Learning.Amazon.SageMaker.part2.rar
Learning Amazon SageMaker
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours 11M | 189 MB
Genre: eLearning | Language: English
SageMaker is Amazon's solution for developers who want to deploy predictive machine learning models into a production environment. Programming is done in Python and the results can easily be integrated into cloud-based applications. These lessons review the entire Amazon SageMaker workflow: analysis, build, and final deployment. Instructor Martin Kemka introduces the benefits of Amazon SageMaker and reviews its browser-based interface and toolset. In the second chapter, he shows how to import, investigate, visualize, and summarize your data. The next stage is to use a clean data sample to train a machine learning model to fulfill a basic task. Finally, Martin shows how the model is deployed. Almost every chapter concludes with a challenge that allows you to practice your new SageMaker skills.
https://i109.fastpic.ru/big/2019/0501/f7/634613ada1c2a4d988e12009ccb723f7.jpg
Download (*********)
https://*********.com/file/download/7f7bd13b83Ac488e/q9w9k.Learning.Amazon.SageMaker.part1.rar
https://*********.com/file/download/e5a3f487d2ac3a79/q9w9k.Learning.Amazon.SageMaker.part2.rar
Download ( Rapidgator )
https://rapidgator.net/file/3fd138b75baeb99efab9839500866214/q9w9k.Learning.Amazon.SageMaker.part1.rar
https://rapidgator.net/file/45c9949ee0311e45976557073b1cc7eb/q9w9k.Learning.Amazon.SageMaker.part2.rar
Download ( NitroFlare )
http://nitroflare.com/view/56AFB6AEC550561/q9w9k.Learning.Amazon.SageMaker.part1.rar
http://nitroflare.com/view/F49E4B4B2E9A897/q9w9k.Learning.Amazon.SageMaker.part2.rar