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

We have new machine learning techniques which have been pretty effective.

learning about the techniques of calculus,

What is machine learning?

That's also machine learning.

So, that's machine learning.

In observing, we apply unsupervised learning techniques.

We can see obstacles being flagged using machine learning techniques, range vision, laser radar, and so on.

learning. Randomized decision trees, another technique from machine learning.

So, that's over 2,500 different systems, and we've done this all using machine learning techniques, using AI techniques, rather than trying to build them by hand.

Welcome to the machine learning unit.

Machine learning is a fascinating area.

learning, I feel like us machine

So, congrats on learning about your first Machine Learning algorithm.

Machine learning algorithms for data mining tasks

Machine learning is a super fascinating topic.

And in the next few videos after that, I'm going to talk about these techniques, which are called the machine learning diagnostics.

You've just learned a lot about machine learning.

You now know a bunch about machine learning.

This is where machine learning comes into play.

Those machine learning problems are called regression problems.

Welcome to the first class on machine learning.

So why is machine learning so prevalent today?

And if you've been following along these videos you should consider yourself an expert on many state of the art machine learning techniques.

Peter will tell you some more about machine learning.

What companies are famous for machine learning using data?

Welcome to this free online class on machine learning.

So the techniques that you're learning in this class really carry over directly.

It's actually used all over the place in machine learning.

Now obviously we just scratched the surface on machine learning.

Machine learning is poised to become more and more important.

This is a reasonably commonly use you type machine learning.

But for many interesting machine learning problems would have a

As there is a machine learning algorithm in this (Applause)

Machine learning is one of the most exciting recent technologies.

There's different types of outputs of a machine learning algorithm.

learning practitioners there isn't a well accepted definition of what is and what isn't machine learning.

It turns out that in machine learning, this is a name that was used in the early days of machine learning and it kinda stuck.

So Tom defines machine learning by saying that, a well posed learning problem is defined as follows.

Over 200,000 people have watched my Machine Learning lectures on YouTube.

In my own research, I've extensively used machine learning for robotics.

So a really important example of machine learning is SPAM detection.

It's kind of the big thing in application and machine learning.

Here are some other examples of machine learning. There's database mining.

Later in this class we will also encounter reinforcement learning, which is yet another set of machine learning.