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You have completed Machine Learning Basics!
You have completed Machine Learning Basics!
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Let's continue defining some machine learning terms so that we have the vocabulary to discuss these ideas in more detail.
Vocabulary and Definitions
- Label: A category for data, or a prediction from a classification algorithm
- Classifier: A supervised machine learning model that makes a prediction about how a piece of data should be categorized
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that a model can use to perform
analysis and comparisons.
0:00
But what do we want a model
to do with that data?
0:01
Ultimately, we want it to make
some kind of a prediction.
0:05
And the prediction it
makes is called a label.
0:09
Let's go back to the earlier
example of a spam filter.
0:14
Each example, in this case an email,
has features which,
0:18
in this case, might be things like
the subject line, body, and sender.
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In this case, the label is whether
the message is spam or not spam.
0:28
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