Best

Optimized

Compaction

Optimize

Optimization

Optimize for large files

Always Best

Compact Folder

Compacting database

Unknown Optimization

We maximized the posterior probability of data logarithmic is a monotonic function, and I put a minus sign over here so the optimization problem becomes a minimization problem.

We have to be correct.

I save it every time we're in this loop.

Bugfixes and optimizations

Compact Now

Performing Optimum Power Calibration

AutoOpt Molecule

Compact the current database project

But often domain specific languages do a better job at it.

exception 0 divided by 0 raises an exception.

This is the critical rule of optimization.

Its not particularly dynamic and it doesn't really change the way you think about programming.

Best chance of keeping those thing out.

So one of the topics that we cover in this class is optimization, making a program faster but having it compute the same result, and I like optimization a lot.

So there's plenty of room for creativity in optimization.

A cross platform tool for optimizing PNG and JPG files.

Optimum Power Calibration failed.

And in the next video

All right.

In the next video, we'll start to talk about an algorithm for trying to optimize the cost function.

But how do we actually implement them in our JavaScript interpretor in our web browser?

We know that we are optimized as human beings, to do hard and meaningful work.

The current project has to be closed before compacting the database. It will be open again after compacting. Do you want to continue?

If C is very, very large, then when minimizing this optimization objective, we're going to be highly motivated to choose a value, so that this first term is equal to zero.

Remember how are we using optimization okay?

We have to get the same answer, just in less time.

Over the entire course, we've seen lexing, parsing we just saw optimizing.

Its computational time is increasing

You don't need to scale ahead of time.

line of code on the right will do is it use

This may seem a little abstract, but let me firm it up with a concrete example.

Now let's go and implement this.

So size doesn't really matter. So this first answer is the correct one.

So this is just a different way of controlling the trade off or just a different way of parametrizing how much we care about optimizing the first term versus how much we care about optimizing the second term.

So,that's gives us our overall optimization objective function for the Support Vector