He held the trophy up high.

He held the trophy on high.

So, if your algorithm is suffering from a bias problem, the training set error would be high and you may find that the cross validation error will also be high.

I like to have a deep conversation with a more academic person from time to time.

learning algorithm and it is not performing as well as your are hoping, so your cross validation set error or your test set error is high.

So these are the results.

We have obtained topographic measurements of the surface of Mars.

Cups and decanters, beakers full of sparkling wine,

Carrying bowls and pitchers and cups filled with wine flowing before them.

with goblets, and ewers, and a cup from a spring

With goblets and ewers and a cup of limpid drink.

With cups, and jugs, and a glass from the flowing wine,

With cups, pitchers, and sparkling drinks.

with goblets and ewers and a cup filled with a drink drawn from a running spring,

With bowls and ewers and a cup from a pure spring

with goblets and ewers and a cup of a clear wine,

with goblets and ewers, and a cup from a spring

With vessels, pitchers and a cup of wine from a flowing spring

with goblets, jugs and cups of crystal clear wine

With goblets and ewers and a cup of pure drink

carrying goblets and ewers and cups filled with the purest wine,

With goblets, (shining) beakers, and cups (filled) out of clear flowing fountains

It's not just a feeling and you're not alone.

Differences

Difference

Example curves tool

Run!

In an agricultural society, the difference between the richest and the poorest, the most productive and the least productive, was five to one.

It may safely be said that he is the greatest pianist in the twentieth century.

So, we know that if d equals 1, we're fitting a very simple function, and so we may be underfitting the training set, and so we're going to go very high cross validation error.

Consisting of accidental and systematic errors.

And so, this is the bias regime whereas and cross validation error will be high and let me just leave all that.

Okay, so, you're certainly in no state of mind to be here right now.

Chromatic Aberration

difference

Difference

From

From

Vector Difference

So in the example we did, h was the difference between our 2 x values.

Now, the Corkscrew is a chicane, followed by a quick right handed turn as the road drops three stories.

As we increase the degree of the polynomial, we're going to fit our training set better and better and so, if d equals 1 that ever rose to the high training error.

Meld Diff Viewer

Watch your step.

Std. deviation