Linkedin Learning Leveraging Cloud-Based Machine Learning on Azure Real-World Applications-ZH
Size: 315.58 MB
Genre: eLearning | Language: English
Size: 315.58 MB
Genre: eLearning | Language: English
Zieg Heil
Linkedin.Learning.Leveraging.Cloud-Based.Machine.Learning.on.Azure.Real-World.Applications-ZH
Title: Leveraging Cloud-Based Machine Learning on Azure: Real-World Applications
Publisher: Linkedin.Learning
Size: 158M (165462192 B)
Files: 4F
Date: 12/05/2019
Course #: Linkedin.Learning
Type: N/A
Published: December 5, 2019
Modified: N/A
URL: www.linkedin.com/learning/leveraging-cloud-based-machine-learning-on-azure-real-world-applications
Author: David Linthicum
Duration:
Skill: Intermediate
Exer/Code: [ ]
Installation:
Unpack that shit, run that shit
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Description:
In order to successfully incorporate AI on the popular Azure
platform, you must gain a fundamental understanding of what AI is
and become familiar with the local tools Azure offers. In this
course, David Linthicum covers the basics of leveraging Azure for
AI-based applications, including key tools and the processes for
using them correctly. After going over the basics of AI
processing on Azure, creating knowledge bases, and the use of AI
systems in the cloud, David presents real-world use cases across a
variety of industries, including healthcare, finance, law
enforcement, and manufacturing. He then shows how to work with the
Azure Machine Learning (AML) cloud service to build, train, and
deploy machine learning models; leverage the Azure Search (AS)
tool; and build an AML application.
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