Using ML.NET to Build Machine Learning Models

Solution Review: Consuming Sentence Similarity Model

Explore how to consume a sentence similarity model in ML.NET by modifying code to accept user inputs and output similarity scores. Understand how the model compares phrases and the importance of context in interpreting results.

We'll cover the following...

Solving the challenge

1.Introduction to ML.NET

2.Machine Learning Fundamentals

3.Selecting a Problem for Machine Learning

4.Built-In Supervised Learning Tasks in ML.NET

5.Built-In Unsupervised Learning Tasks in ML.NET

6.Deep Learning and Neural Networks

7.Automating Machine Learning Tasks with AutoML

8.Saving and Consuming Machine Learning Models

Mini Project

9.Wrapping Up

Project

10.Appendix

Solution Review: Consuming Sentence Similarity Model