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Azure Series: Machine Learning & Azure AI (3/3)

Microsoft Reactor
114K subscribers
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301 views Streamed 2 years ago
The Azure three-part series aims to provide you with a framework to help you build your knowledge by learning the most important Azure concepts, understanding the cloud, exploring different Azure services, and looking at how we can use Azure to create innovative experiences in our applications. Learn more and register for the full series: [https://developer.microsoft.com/en-us...] This session lays a foundation by explaining what Machine Learning is, the different kinds of ML, and how a machine learns. With those basics under the belt, we’ll explore the most widely used types of machine learning and how to choose the most effective one for your task. We will examine the important role humans play in successful machine learning models, such as selecting the right data to review and creating the training data that machines will ultimately learn from. We will also take an entry-level, end-to-end look at Azure AI and its capabilities. J …...more
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These chapters are auto-generated

Intro

0:00

Hadeel Shubair

1:04

Al & Key Workloads

10:03

Al use cases by industry: Healthcare

16:10

Al use cases by industry: Financial Services

17:06

Azure ML

19:44

Get started with an Azure free account

21:57

Get started with an Azure Student account

23:16

Pricing Calculator

24:03

Machine learning process

26:26

Machine learning - Azure

27:47

Let's explore how Anomaly Detection can help in the racing car scenario

29:55

Computer Vision services - Azure

34:57

Natural language processing - Azure

36:09

Build & train

40:47

Deploy & manage

41:23

ML Algorithm Cheat Sheet

44:00
Azure Series: Machine Learning & Azure AI (3/3)
The Azure three-part series aims to provide you with a framework to help you build your knowledge by learning the most important Azure concepts, understanding the cloud, exploring different Azure services, and looking at how we can use Azure to create innovative experiences in our applications. Learn more and register for the full series: [https://developer.microsoft.com/en-us...] This session lays a foundation by explaining what Machine Learning is, the different kinds of ML, and how a machine learns. With those basics under the belt, we’ll explore the most widely used types of machine learning and how to choose the most effective one for your task. We will examine the important role humans play in successful machine learning models, such as selecting the right data to review and creating the training data that machines will ultimately learn from. We will also take an entry-level, end-to-end look at Azure AI and its capabilities. Join us in this introductory session as an excellent first step to help you get started in the field of Machine Learning! • Learning Resources: https://learn.microsoft.com/training/... • Who is it aimed at? This session is aimed at anyone interested in learning about the Fundamentals of Azure and how to get started in Machine learning. • Speaker: Hadeel Shubair Hadeel is a Regional Cloud Advocate and Data Analytics Engineer for Microsoft, Middle East/Africa region. She holds a Master’s degree in Data Analytics and is passionate about learning and sharing her knowledge on tech topics including Data Analytics, AI, & ML. Before joining Microsoft, Hadeel held several appointments and roles including Google Women in Tech scholar through which she delivered several sessions to the community to motivate and empower young talents. Hadeel also served as part of the Data & Communications team overlooking the organization of the World Government Summit. On the other side, while at University, Hadeel chaired the Women in Engineering club, and was the Chief Editor of the Engineering Newsletter. As a Cloud Advocate for the Microsoft Reactor, Hadeel’s main goal is to take you on a journey to understand & learn more about Data and AI concepts and applications. She's passionate about technology, education, & growing the Data & AI community across the region. [eventID:18706]

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Microsoft Reactor

114K subscribers
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