Practical Machine Learning using ML.Net / Model Builder Part 1: Prerequisites and Learning Outcomes
This video is the introduction to my new Udemy course (https://www.udemy.com/course/practica..., aimed at machine learning beginners who have some theoretical knowledge, but who want to see the theory in practice.
It outlines what the course covers, what the prerequisites are, and what the learning outcomes will be. You can watch the course passively, especially if you are a Mac user who does not want to go through the grind of setting up a separate Windows environment on your machine. Windows users will be able to replicate the actual training process if they want to (highly recommended).
Other free parts of the course can be found here:
Practical Machine Learning using ML.Net / Model Builder Part 2: Introducing ML.Net, Model Builder, and the Approach for the course.
• Practical Machine Learning using ML.Net / ...
Practical Machine Learning using ML.Net / Model Builder Part 4: Launch Visual Studio and Start a Code Project.
• Practical Machine Learning with ML.Net / M...
Practical Machine Learning using ML.Net / Model Builder Part 13: Live Demo - Training a Machine Learning Model
• Practical Machine Learning with ML.Net / M...