That's called a Bayesian approach, and we'll get to that at the very end of the semester.

Bayesian, and we'll go into that more.

What's being referred to here is Bayesian models.

And what it means is we really are Bayesian inference machines.

Approach me.

One approach and this approach is super slow.

The approach worked.

Approach the cow.

5 00 Approach

Final approach, captain.

Now a key part to the Bayesian is this part of the formula.

This is from Dave, who says, I've read that Bayesian models cannot over fit.

Don't approach the dog.

Don't approach the dog.

Don't approach the dog.

That's a good approach.

What is our approach?

We're starting our approach.

Approach the biometric scanner.

They're what I'm calling here the gerontology approach and the geriatrics approach.

So, in this video we're using an approach called the reactive approach.

Rigor, the rigorous approach, the exact approach has produced paralysis, rigor mortis.

We won't approach the enemy.

Well, here's a potential approach.

This is the wrong approach.

We've had a different approach.

My approach was very egotistic.

So that's the conventional approach.

The engineering approach simply says,

Here's your brute force approach.

Let's try the other approach.

A conscious approach to design,

Ladies and gentlemen, please approach.

Did you say handson approach?

I must approach it alone.

The president is difficult to approach.

I signed for him to approach.

and approach each other with questions,

Java actually uses the same approach.

In, a path analysis. Uh, approach.

Getting pregnant changed my approach tremendously.

So this is a different approach.

I think that approach denies reality.

It is a cost effective approach.

Would you also approach the bench?