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EP2: Text Classification with Model Builder

Microsoft Reactor
113K subscribers
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1.7K views Streamed 2 years ago
This event is a part of "Getting Practical with ML.NET" series Series Description In the near future, every application on every platform will incorporate some form of machine learning capabilities, empowering the application itself and making it smarter. In this series, you'll learn how the ML.NET framework has been designed to democratise the art of machine learning, converting it into a technology available to all developers around the globe. You'll also see practical examples of how you can implement a solution in the ML.NET framework, using a real-world scenario and 2 different approaches: low code and code-heavy. What is the session about? This session is an introduction to building a text classification model with Model Builder in ML.NET, able to classify if a news is fake or not. Who is it aimed at? This session is for students, early career and professionals who are interested in setting themselves up to build smart apps using ML.NET …...more
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Introduction

0:00

Welcome

0:28

Code of Conduct

1:44

Agenda

2:36

Learning Goals

3:07

Cloud Skill Challenge

3:34

Free Azure Account

4:47

Prerequisites

5:21

Recap

6:02

What is NLP

6:37

History of NLP

7:18

Introduction to Text Classification

13:12

Binary Classification

14:51

Classical vs Deep Learning

16:03

Transformer Architecture

18:58

Model Builder

21:29

Demo Description

23:19

Model Builder Page

24:32

Data Upload

25:59

Training

27:09

Accuracy

28:37

Evaluate

29:25

Customize

30:48

Training File

31:17

Training Pipeline

32:13

Model Consumption

34:22

Model Path

34:38

Create Predict

35:27

Program File

37:00

Demonstration

39:28

Evaluation

43:20

Questions

43:59

Example

47:44

Results

50:57

Conclusion

53:45
EP2: Text Classification with Model Builder
This event is a part of "Getting Practical with ML.NET" series Series Description In the near future, every application on every platform will incorporate some form of machine learning capabilities, empowering the application itself and making it smarter. In this series, you'll learn how the ML.NET framework has been designed to democratise the art of machine learning, converting it into a technology available to all developers around the globe. You'll also see practical examples of how you can implement a solution in the ML.NET framework, using a real-world scenario and 2 different approaches: low code and code-heavy. What is the session about? This session is an introduction to building a text classification model with Model Builder in ML.NET, able to classify if a news is fake or not. Who is it aimed at? This session is for students, early career and professionals who are interested in setting themselves up to build smart apps using ML.NET Why should you attend? If you think of yourself as a developer or an aspiring software engineer, you might see machine learning as a separate art, practiced by an elite of data scientists and statisticians, and you might be uncertain about how it fits into application development. Attend this session if you wish to find an answer to your doubts. Speaker bios Carlotta Castelluccio, Cloud Advocate Microsoft Carlotta Castelluccio is a Cloud Advocate at Microsoft, focused on Data Analytics and Data Science. As a member of the Developer Relationships Academic team, she works on skilling and engaging educational communities to create and grow with Azure Cloud, by contributing to technical learning content and supporting students and educators in their learning journey with Microsoft technologies. Before joining the Cloud Advocacy team, she worked as an Azure and AI (ARTIFICIAL INTELLIGENCE) consultant in Microsoft Industry Solutions team. Connect with Carlotta   / carlottacaste   Liam Hampton, Regional Cloud Advocate, Microsoft Liam is a Regional Cloud Advocate at Microsoft. He is an IoT hobbyist, a podcast co-host and a Software Engineer with multiple Professional Cloud Certifications. He is passionate about cloud computing, clean code and creating simple and concise content for others. When he is not writing code or presenting, you'll either find him searching for the next best eatery in London, studying different cultures or at the airport jetting of to explore the next city on his TODO list. Connect with Liam Twitter:   / liamchampton   Linkedin:   / liam-conroy-hampton   [eventID:17734]

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Microsoft Reactor

113K subscribers
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