So how do we do that?

Generic card based learning program

See you in study hall?

I took a course.

So, yeah.

And finally, there was a population of students that were taught in a one on one instruction using a tutor.

Given this data set, an

Right! The study hall.

If you're going to carry me, you better start working out.

In this video I am going to define what is probably the most common type of machine

By now, you see the range of different learning algorithms.

Is this poli sci 101?

This is not a philosophy class.

Peter will tell you some more about machine learning.

learning. I'll define what these terms mean more in the next couple videos.

You and I didn't have 10,000 books when we went to primary school.

Don't run around the classrooms.

Study hall?

Chef Part One Examination, Please proceed to the Teaching Room,

Andrew teaches one of the bigger Stanford classes.

The students assembled in the classroom.

Let's show some examples of machine learning problems and I want you to tell me, for each one, whether it's best addressed with supervised learning, unsupervised learning, or reinforcement learning.

Old Potions Master's habit, you know

But we have to let the algorithm discover all this just from the data. Finally, it turns out that Unsupervised

I'd like to try out the aerobics class for a day.

It's good for maybe home schoolers.

Working to help the villagers obtain fresh water from wells.

It's good for maybe home schoolers.

Will entrants for the engineer's examination, now make their way to the teaching room.

So there's been many studies, including this one, that show that if you use active learning, interacting with your students in the classroom, performance improves on every single metric on attendance, on engagement and on learning as measured by a standardized test.

And these machine learning techniques are the enabling techniques that make that possible.

Uh, I was thinking maybe we could use study hall to get ready for the chem test tomorrow.

Hello, may I speak to Dad... er...

There's one condition You must write like crazy. Like crazy!

We often just observe.

Every machine learning method is driven by some sort of target information that you care about.

We can design better games.

This classroom can accommodate only thirty students.

So, that's it for supervised learning and in the next video I'll talk about unsupervised learning, which is the other major category of learning algorithms.

Don't use me as a threat.

In both cases you're given data, but in 1 case you have labeled data, in another you have unlabeled data.

And one of the interesting aspects is that it's mainly for unsupervised problem, that there's some aspects of it that are also very similar to sort of the supervised learning problem.

I will show you a new approach to foreign language learning.

So, congratulations.

So I have a rat who is trained to press a lever to get a release of food when certain conditions are met.