A recap

So, let's recap.

So, to recap

So let me recap.

So, just to recap.

So to recap this segment.

Now, let me recap. (Laughter)

But let's recap some lessons from this.

To recap, here's what we had last time.

So, to recap, everything is made of atoms.

Just to recap, trademark protects branding and marks.

So to recap, the full picture looks like this.

Can you do a recap on what the study said?

So let's recap what we learned about clusters of galaxies.

But we still talked about a lot. So, let's recap.

So, let us recap the key ideas of structure formation.

And let me recap some of the stuff you've seen.

So to recap, we're getting our 3 parameters from the request.

Just to recap, in the class we learned about localization. Localization

So, let's just quickly recap. What is the basic structure tree property?

So again, to recap where we got to on the previous slide.

To recap, the first thing I wanted to do is make a registration page.

So let's do it. To recap, we have sample 11 yeses and 4 nos.

Just to quickly recap we carry on through the while loop as long as we've got some page to crawl and our depth is less than or equal to max_depth.

So, let's recap, again. Which component of the universe dominates its dynamics at what time?

Let's recap the code we already wrote we have the add to index procedure that takes in the index, the keyword and the URL.

To recap, for each value of theta one, right? Each value of theta one corresponds to a different hypothesis, or to a different straight line fit on the left.

So let's recap what we've learned. gt gt The research found that the ozonator was moderately effective at killing pathogens on a variety of produce, including broccoli, green onions and tomatoes.

And the rest of their life, telling them to shut up and sit down. To see what it is all about, and to summarize what I have learnt in school, let's recap

So, to recap this, this piece, the most confusing part, is, we have variance, in the population, we have variance in the sample, and, we have variance, in this hypothetical distribution, of sample units.

I promise there won't be too much of me talking, and a lot of Derek playing, but I thought it would just be nice to recap on how Derek got to where he is today.

As (lovely as) rubies and as (beautiful as) coral.

Tale as old as time Song as old as rhyme

So just to recap, we're posing this problem as find me the values of theta zero and theta one so that the average already one over two M times the sum of square errors between my predictions on the training set minus the actual values of the houses on the training set is minimized.

Food is as important as energy, as security, as the environment.

As light as a feather, and as hard as dragon scales.

As wise as Master Yoda and... as powerful as Master Windu.

How do we make things as simple as we can, as cheap as we can, as functional as we can and as freely interconnectable as we can?

As Soon as Possible

As Late as Possible

As Soon As Possible

As Late As Possible

So as long as

As simple as that.

As ugly as that?