Like combinations of different family names.

And if you put them together in different combinations just like printing in a sense,

This matrix can produce thousands of different color combinations to represent thousands of different smells.

There are four combinations in total.

And so then you can start thinking about all of the different combinations.

They could take on 64 different combinations or permutations, this UAC right here.

And then these two in the middle are multiplied by different combinations of constants and x terms.

She's going to keep doing this as long as she can make different color combinations.

You place the different alleles on both axes and then figure out the possible combinations.

Let's try some other combinations.

We know the safe combinations.

So we end up trying all combinations of nuts and all combinations of bolts.

It's important to realize that, look, all this graph shows is all the different possible combinations of

So these are all points on the different combinations between the trade offs of rabbits and berries.

So this will be a count of all of the different combinations because all of the different extra stuff that you have will be all of the different hands.

Actually, it's overkill, because we can actually have 64 combinations here, and there are only 20 amino acids, so we can even have redundant combinations code for different amino acids.

These are all just linear combinations.

And these are all the combinations.

One can obviously also make combinations.

And there are a bunch of these, and we once again will use the binomial coefficient, or we'll use our knowledge of combinations to figure out how many different combinations there are.

But the way we react to different combinations of these phenomena is complex and emotional and not totally understood.

By looking at the proportions and combinations of different kinds of pollen in a sample, you can tell very precisely where it came from.

We're looking at all combinations of those.

You can't even talk about combinations, really.

But how can we increase the combinations?

In different contexts, cells do different things.

Symbols carry different meanings in different settings.

20 different copies in 20 different locations.

Different in scale.

There's nine possible combinations for A and B.

It's all of the combinations of two things.

Now why do we just call them combinations?

like middle school locker combinations, with relevant information.

Different languages are used in different places in the world.

That can mean different things in different countries.

Chimpanzee troops have different cultures in different troops.

And now the set of all of the combinations, scaled up combinations I can get, that's the span of these vectors.

And you say, well, how many combinations are there?

We'll learn more about that when we do combinations.

What combinations of a and b can be there?

But what's the probability of each of these combinations?

And so how many combinations are there like this?

And then how many of these combinations are there?

So you could imagine, you can make an arbitrarily complicated function of things jumping up and down to different levels based on different essentially linear combinations of these unit step functions.

living in different places.