Oh, well.

5.

Now mathematicians have answered that question.

It might be a 100 product, then the discount would be 30 dollars.

There are a couple of articles written on this by the authors of PHP 4.

Nobody imagined that the West Antarctic Ice Sheet was this dynamic.

I doubt these generalizations.

So let's generalize it a little bit, to the situation where

But I want to show you that we can generalize them.

We finally gave up, took it out of the code.

There is no generalization at all from one task to another in robotics.

It should be no surprise so far.

And you can put a t n here and use an inductive argument to figure out a general formula.

Okay. This kind of gives us some intuition for how this works in 2 dimensions.

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So your slope would be 4 over 3 (4 3).

Everything I did so far was in R2.

So the answer here is True.

The cost function we use for the neural network is going to be a generalization of the one that we use for logistic regression.

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K means is a nice, intuitive algorithm to derive clusterings.

So let's dive in and have you program your own real robot example.

For a neural network our cost function is going to be a generalization of this.

But as you'll see, a function can become kind of a more general thing than just an equation.

Stay at home moms. Right?

The cathode is on this side.

This is the string to be simplified.

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You made wrong decision.

I have seen you a couple of times in the battle field,

So f( 2) is equal to 8.

Over here we've said we've generalized this for any product, we're not just saying for this 20 dollar product.

And so, remarkably, I discovered that there's also a drift toward specialization.

The future will be more unpredictable.