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

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.

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.

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.

Let's try some other combinations.

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

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.

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.

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.

These are all just linear combinations.

And these are all the combinations.

One can obviously also make combinations.

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?

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.

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

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.

In different contexts, cells do different things.

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?

Different languages are used in different places in the world.

If you, once again, draw the truth table, you find, for the different combinations, that if you've drawn coin 1, you'd never see tails.

DNA and my wife can give 2 to the 23 combinations of DNA, then we can produce 2 to the forty sixth combinations.

I can keep putting in a bunch of random real numbers here and here, and I'll just get a bunch of different linear combinations of my vectors a and b.

That can mean different things in different countries.

Chimpanzee troops have different cultures in different troops.

So different cosmological models in different combinations of parameters Make a prediction of a pair that will go through these data points and shown here is a particularly well fitting model that is model that's now pretty much generally accepted.

There are 2 to the 23 different combinations of DNA that she can contribute just based on which of the homologous pairs she will contribute.

There's only one way to get that if the remaining cards that's going to give all of the different combinations of having four 1's.