Heads up! To view this whole video, sign in with your Courses account or enroll in your free 7-day trial. Sign In Enroll
Well done!
You have completed Machine Learning Basics!
You have completed Machine Learning Basics!
Preview
Before we continue, we should formally define some of the terms I've been using to describe machine learning, and then break them down further with more examples.
Vocabulary and Definitions
- Example: A single element in a dataset
- Feature: One characteristic of an example
Related Discussions
Have questions about this video? Start a discussion with the community and Treehouse staff.
Sign upRelated Discussions
Have questions about this video? Start a discussion with the community and Treehouse staff.
Sign up
the scikit-learn project to
write our own classifier.
0:00
But before we continue, we should formally
define some of the terms I've been using
0:03
to describe machine learning and
0:08
then break them down
further with more examples.
0:10
Speaking of examples, an example
is a single element in a dataset.
0:14
Sometimes you might hear an example
referred to as a sample,
0:20
but it means the same thing.
0:26
If your data is formatted in a table,
0:28
You need to sign up for Treehouse in order to download course files.
Sign upYou need to sign up for Treehouse in order to set up Workspace
Sign up