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Hands-on machine learning using Amazon SageMaker

Author: Pavlos Mitsoulis Ntompos
Publisher: [Place of publication not identified] : Packt Publishing, 2018.
Edition/Format:   eVideo : Clipart/images/graphics : English
Summary:
"The biggest challenge facing a Machine Learning professional is to train, tune, and deploy Machine Learning on the cloud. AWS SageMaker offers a powerful infrastructure to experiment with Machine Learning models. You probably have an existing ML project that uses TensorFlow, Keras, CNTK, scikit-learn, or some other library. This practical course will teach you to run your new or existing ML project on SageMaker.  Read more...
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Details

Material Type: Clipart/images/graphics, Internet resource, Videorecording
Document Type: Internet Resource, Computer File, Visual material
All Authors / Contributors: Pavlos Mitsoulis Ntompos
OCLC Number: 1088414014
Notes: Title from resource description page (Safari, viewed February 22, 2019).
Performer(s): Presenter, Pavlos Mitsoulis Ntompos.
Description: 1 online resource (1 streaming video file (2 hr., 57 min., 12 sec.)) : digital, sound, color
Responsibility: Pavlos Mitsoulis Ntompos.

Abstract:

"The biggest challenge facing a Machine Learning professional is to train, tune, and deploy Machine Learning on the cloud. AWS SageMaker offers a powerful infrastructure to experiment with Machine Learning models. You probably have an existing ML project that uses TensorFlow, Keras, CNTK, scikit-learn, or some other library. This practical course will teach you to run your new or existing ML project on SageMaker. You will train, tune, and deploy your models in an easy and scalable manner by abstracting many low-level engineering tasks. You will see how to run experiments on SageMaker Jupyter notebooks and code training and prediction workflows by working on real-world ML problems. By the end of this course, you'll be proficient on using SageMaker for your Machine Learning applications, thus spending more time on modeling than engineering."--Resource description page.

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