Understanding Thresholds in Machine Learning
By Science BuddiesFrom boclips.com
350.1K views
66.2K likes
Join Tracy as she explores the concept of thresholds in machine learning, focusing on their critical role in binary classification tasks. Learn how activation functions and thresholds determine the classification of data points, using a face recognition model as an example. This video is perfect for anyone interested in enhancing their understanding of machine learning mechanics.
Tags
Experience
Physical Sciences
General Science
Computer Science
Communication and Media Studies
Statistics
Lower Primary
Upper Primary
Comments
Leave a Comment
Comments are loading... If you don't see any, be the first to comment!
Related Videos
Reinforcement Learning
Fun Robotics
Introduction to Machine Learning
Fun Robotics
Why do we classify?
Imagine Learning - Twig (primary school)
Classification keys
Imagine Learning - Twig (primary school)
Types of Machine Learning
Fun Robotics
New arrival at the zoo
Imagine Learning - Twig (primary school)
Introduce the Instructor and AI
Fun Robotics
Classification of metals according to their chemical activity
Nahdet Misr Publishing Group EN

Unsupervised Machine Learning: Crash Course Statistics #37
KidzSearch
The Mathematics of Machine Learning
Zach Star
