We had knowledge about the electromechanical efficiency and then we can calculate the aerodynamic efficiency.

So now we have two reasons why the naive Bayes assumption is a good thing.

But, for subtle reasons, that we will see later, it turns out to be much more computationally efficient to make predictions on all of the prices of all of your houses doing it the way on the left than the way on the right than if you were to write your own formula.

The specification of the initial state has no bearing on this result.

Also, we see how we measure the aerodynamic efficiency.

By simply moving beads that each had place value an abacus was a highly efficient way to compute.

Let's now modify it and ask, what are the chances it becomes a head three times?

People always ask me, you know,

You can actually pursue multiple outcomes and bring them together.

Probability value for which the standard logarithmic distribution is to be calculated

Since Archimedes, people all over the world have been obsessed with calculating Pi.

In fact, calculating Pi was used to test proper functioning of early computers.

Now, our next quiz, I want you to fill in the probability of the cancer given that we just received a positive test.

The probability of B is a sum over all probabilities of B conditional on A, lower caps a, times the probability of A equals lower caps a.

Right? What's the probability that I'd get someone with a temperature of 103?

We just applied Bayes Rule to compute a really involved probability of having cancer after seeing a test result.

Once I tried to calculate them, but they're astronomical.

Here. The Pirate Bay. And that's all.

Be fast.

That's inefficient.

The inner loop of the summation now has only 3 terms rather than 5 terms.

So, there are phenomenas that make life difficult for us. Finally, the Pascal

Here's a quiz to make sure you understand how to calculate these probabilistic models.

The probability of winning will be one third if you don't switch.

The only problem with combining multiple heuristics like this is that there is some cause to compute the heuristic and it could take longer to compute even if we end up expanding pure paths.

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For example, p might be 0.5.

This one right here and over here.

Two new movies Top Gear, Gun Shy.

Yeah, you guys standing up, you want to sit down for this.

Effective.

But this is the opposite of getting exactly one heads, and that's an easier thing for me to figure out.

You're like, gee you know, I've got nine cards and I'm taking them out of 36 and