And then we iterate.

It's hours, people per hour.

Based on the number of false positives...

W 0, where 0 is your iteration number, and then you up with it iteratively.

We took her family's phone records and collated the international calls.

They can only be applied to discrete state spaces is clearly wrong.

You presume correctly.

Even though our business is a little bit steadier than that would seem to imply.

likelihood. We want to have the most likely albedo and the most likely shape which could give rise to that image.

The next question a lot of people had was does this method we're using depend on the robot already having a map of its environment?

Here we had one probability to estimate.

Now let's split this top surface with the line tool.

I think you should be really happy and proud of yourself.

This is our first programming assignment.

In 3 cases, A is followed by A over here, over here, and over here.

We study again our die. You observe the following sequence 1, 2, 3, 2.

I will now teach you about estimators.

later called The Black Death, spread across Europe with devastating consequences.

An estimated 350,000 people were exposed to the bombing

Recommended Settings

Recommended settings

Recommended Settings...

Supposed suicide.

Here's the idea for gradient descent.

I want to give you an intuition for the basic principles.

Now, it may seem like we made a backwards step.

There's a sequence of estimated positions leading up to the actual robot position.

I do realize we haven't really talked about this much yet.

We asked them to estimate their likelihood of experiencing different terrible events in their lives.

So here's a multiple choice question for particle filters.

Narrator And the answer is there's 8 different messages of which 3 are spam.

OK well I'll read it out loud in case you can't see it.

But anyway back to the problem.

I just want to tell you what you've learned, because you did amazingly well.

He dates the custom from the colonial days.

Astronomers inferred the existence of a local supercluster.

So what do they want to know?

Late twenties to midthirties.

Thank you for taking the class so far. You learned a lot already.

If you built a localization system for robots with higher dimensional state spaces,

If you understood this, you understand probability, and you understand localization.

This is very standard linear algebra.

We heavily rely on a previously built map and a type of localization method that you implemented to localize the robot and make it follow known lanes.

Also, there'd be more job opportunities there.

Stop estimating backup size