Advanced Machine Learning .NET Applications

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Sam Nasr

40:50

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01 - Introduction

01 - Advanced machine learning .NET.mp4

00:38

02 - What you should know.mp4

00:39

02 - 1. Preparing Data for Machine Learning

01 - Collecting data correctly.mp4

01:58

02 - Utilize SME.mp4

01:13

03 - Data types and structure.mp4

01:41

04 - Business logic.mp4

01:12

05 - Outliers.mp4

01:55

06 - Biases.mp4

01:05

07 - Data cleansing tools.mp4

01:17

08 - Demo Checking data.mp4

02:04

03 - 2. How to Generate an ONNX Model

01 - What is ONNX.mp4

00:36

02 - Set up the .NET project for ONNX.mp4

00:28

03 - Create a model.mp4

01:03

04 - Generate an ONNX model.mp4

00:41

05 - Using Netron.mp4

00:34

06 - Demo Generate an ONNX model in Visual Studio.mp4

03:15

04 - 3. How to Utilize TensorFlow Framework

01 - Image recognition vs. categorization.mp4

01:10

02 - What is TensorFlow.mp4

00:46

03 - Set up the .NET project for TensorFlow.mp4

01:28

04 - Train the model.mp4

00:57

05 - Evaluate the model.mp4

00:33

06 - Demo Train a TensorFlow model in Visual Studio.mp4

04:17

05 - 4. Model Maintenance

01 - What is MLOps.mp4

01:34

02 - Retraining the model.mp4

00:54

03 - Versioning.mp4

01:00

04 - Source control.mp4

01:27

06 - 5. Common Pitfalls

01 - Machine Learning Model not in the context menu.mp4

00:39

02 - Is 32-bit supported on Windows.mp4

00:23

03 - Ensure the app is targeting x64 or x86.mp4

00:26

04 - New project with a different build target.mp4

00:33

05 - Challenge Training and comparing ML.NET models.mp4

00:51

06 - Solution Training and comparing ML.NET models.mp4

03:07

07 - Conclusion

01 - Next steps.mp4

00:26

Description

Take your machine learning .NET applications to the next level in this course, with software engineer Sam Nasr. Join Sam as he explores using ML.Net with other frameworks like ONNX and TensorFlow. In addition, he discusses best practices for properly collecting data for ML, source control, versioning, and common pitfalls.

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Machine Learning

Sam Nasr

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Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.