Policies

Policy

You also have a rotation matrix that will rotate the model or anything else around the y axis.

This just means my

Realize that even states I'm not likely to every reach,

Java policy

JavaScript policy

And so on this slide, you know this matrix is the matrix A, and this matrix is the matrix A inverse.

So for each predictor, we're gonna have one beta or one regression coefficient.

I got a 2 by 2 matrix.

Matrix

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Let me set the initial state to be x, y, and orientation.

learned from Wikipedia, the correct term is the adjugate of matrix a.

I think you see the pattern.

Default Policy

Duplicate Policy

Default Policy

Send policy

Offline Cache Policy

So the inverse of matrix a is equal to 1 over the determinant of a times the adjugate, or adjoint, of matrix a.

So the matrix A is a m by n dimensional matrix, so m rows and n columns and we are going to multiply that by a n by 1 matrix, in other words an n dimensional vector.

So A is a three by two matrix and features

Could I have multiplied the matrices the other way?

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So let me write that down.

It's going to be 2, 1, 1, 1.

It's just a little tedious.

It's the determinant.

So there you have it.

We are almost done.

Domain Specific Policies

Bad policy

but the insurance company aren't silly people. They're very ughh scrutinize probabilities.

So we wish to have a planning method that provides an answer no matter where we are and that's called a policy.

Go to Salem, the amusement park on Policy Street.

So B inverse is going to be equal to 1 over the determinant of B.

The inverse is shown like this a negative 1 in the superscript.

Let's calculate B inverse.

We go back to plus.

Matrix

matrix

Let me just quickly show you an example.

In order to get, what

By train?