We're just multiplying the corresponding terms, the third term times the third term, the second term times the second term, the first term times the first term.

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We have really no ballooning on this side so really it is all pressure energy.

We take our kernel, which in this case might be a 2 x 1 kernel.

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That's not exactly the same alpha as before. We set this alpha over here to 0.5.

And it controls how big a step we take when updating my parameter theta J. And this second term here is the derivative term.

So the first commandment

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We did the second term.

I don't feel like filling out this questionnaire. There are too many items.

You've got to think green and green.

And I'm gonna sum those products. So I'm taking this term.

So if we keep adding them, I'll do them vertically down.

So I'd highly recommend you reacquaint yourself with the chapter on antidotes

But the best way to think about is whatever's on the t squared, this is probably kind of this whole expression, if we're trying to factor it into two binomials or into one binomial, this is going to be the first term of that binomial squared.

Moving to the third commandment.

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Let me draw a vector in R3.

I took the most important events from the chronology of information science and wrote a few words about each one.

So, if you were to type this in an interpreter, or if you were to type it in a program, it would evaluate as this item right over here.

So that's just interesting to look at.

Well, this term over here, that's a real number.

The first term has one 5.

But moving to our fourth commandment,

And I really don't think it's that different form our own little dominant hand avatar right there that I'm going to use now to click on the term for hand, go to the page for hand, where I found the most fun and possibly embarrassing bit of trivia

But structures designed to connect, rather than divide mutually dependent circles, rather than isolating triangles.

So you might see the pattern.

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We need to remember an error for when something goes wrong, and then down here, I've defined what we want to ignore for the comment state, and it's the same exact stuff that we ignore when we're tokenizing the rest of it.

So, for logistic regression, we had two terms to our objective function.

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