What is Machine Learning?
It’s a way the computer learns from data.
It’s a way to teach the computer to do various tasks without explicitly programming the task.
Q: What’s the main problem with programming a computer?
Q: What kind of data are we talking about?
What is the output? Are you giving a classification into buckets? Or are you predicting a numeric value?
The spam filter is a good example of this: it is trained with many example emails along with their class (spam or not), and it must learn how to classify new emails.
Supervised learning requires labelled data. Whereas unsupervised learning can learn the clusters of data. Good example of this is recognizing credit-card fraud.
