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Non parametric MRI Analysis

And we looked into parametric models like Naive Bayes non parametric models.

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The parametric function does not return a vector

You don't have to have a parametric equation.

So if you watch the videos on parametric equations, this is just a traditional parametric definition of this line right there.

And just like that, we have three parametric equations.

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11 Equalizer gains include pre amp, range 100..100, 0 is normal.

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Now, for the overdense perturbation, we can express the solution in a parametric form shown here.

But when you're dealing in R3, the only way to define a line is to have a parametric equation.

Or if I shoot a bullet in three dimensions and it goes in a straight line, it has to be a parametric equation.

And when we did it in R2, I did a parametric equation, but we learned in Algebra 1, you can just have a regular y in terms x.

The only way to define a line or a curve in three dimensions, if I wanted to describe the path of a fly in three dimensions, it has to be a parametric equation.

And we saw in the video where I parametrized or showed a parametric representation of a line, that this, the span of just this vector a, is the line that's formed when you just scale a up and down.

The vector P1 plus some random parameter, t, this t could be time, like you learn when you first learn parametric equations, times the difference of the two vectors, times P1, and it doesn't matter what order you take it.

If we wanted to write it in kind of a parametric form, we can say, since this is what determines our x coordinate, we would say that x is equal to 0 plus t times minus 2, or minus 2 times t.

But she also offers another very practical lesson that Mr. Toilet tells us about that is the ultimate equalizer it doesn't matter what your religion is, it doesn't matter what your faith is, it doesn't matter if you're rich, or if you're poor, or what color you are, what goes in, will come out.