Now if I want to take this objective function and multiply it by 10, so here my minimization problem is minimum of u of 10, u minus 5 squared plus 10.

We maximized the posterior probability of data logarithmic is a monotonic function, and I put a minus sign over here so the optimization problem becomes a minimization problem.

This looks like a simplification.

Here is what I mean, to give you a concrete example, suppose I had a minimization problem that you know minimize over a real number u of u minus 5 squared, plus 1, right.

In fact, getting the min done easy, constant time.

Then we'll talk about the idea of estimation of regression coefficients.

Just like the sum of square, sum of deviation squares. So we'll square them.

Finding the shortest path in a weighted, undirected connected graph took time m times the logarithm of n.

The more you exercise it, the stronger it gets.

And that would give us the sum of squared residuals.

I showed you a brief trick how to estimate the K as you go, which also overcomes local minima to some extent.

Let's see.

So, we wanna minimize the difference between the observed scores on Y and predicted scores on Y, predicted by the model.

X and Y, we are still assuming that X and Y are both continuous, both normal and there's a linear association between them and we will move beyond those assumptions

It's a minor problem.

Let's get started with some problems.

So we think of Ci as picking the cluster centroid with the smallest squared distance to my training example Xi.

Suppose you're running a company and you want to develop learning algorithms to address each of two problems.

Okay, in the truck.

Or you would ideally try to convince them not to report it to the credit agencies

So, this cost function is also called the squared error function or sometimes called the square error cost function and it turns out that Why, why do we, you know, take the squares of the errors?

So jstree now holds a parse tree for JavaScript.

It has the advantage of perfection, but the perfection is brought ultimately at the price of emptiness.

Ah let's just leave them.

We do have a problem, Chief.

The plan from here on out is to tell you about a couple of important extensions of these ideas.

This is a matter of supreme importance.

All right.

Sport costs money.

A and B are d separated. Therefore, they are actually independent.

Yes, but I think Europe has got a position, which is 27 countries have already come together.

You already had kind of a sense of what an average is.

How does R, or how if we want to calculat e this by hand, how do we come up with these estimates?

And here was this friend of mine

And the base now is going to be 1 2.

Kill two birds with one stone.

59 squared, OK, and finally?

And in the next video

It is no, no, no, and yes.

Nonetheless, that's how it was presented, and at trial nobody even argued it.

Same for mid air. Multiply 3 up to 6.

I think have really powerful parallels to the arts.

Now, what kinds of questions can we ask to do inference about?

Kony arrested for all the world to see And for the abducted children returned home

Holy sh t!