Second step, conceptual synesthesia.

Now, why is that formulation so powerful?

Nothing in the formulation is a problem.

So the equation is conceptual.

That formulation forces you to be outward facing.

This lady, she developed a herbal pesticide formulation.

Here's the conceptual diagram of the whole idea.

It's conceptual. It's universal. It's beyond words and numbers.

That is the conceptual way of how it works.

I took a more conceptual approach to the valentine.

Now that's really the conceptual way to imagine absolute value.

Often it's language which doesn't land for you. It's conceptual language.

He made this amazing conceptual statement that blew up everyone's minds.

Einstein once said that formulation of the problem is often more important than the solution.

This formulation will be good to the extent that similar states have the same value.

All kinds of conceptual things, they have names now that start with HTTP.

Here's our problem formulation as usual, with the hypothesis parameters, cost function, and our optimization objective.

If you raise questions about that formulation, you really are considered a bit of an antique.

He talked about the formulation of a problem being so incredibly important, and yet in my practice, in the U.S. here, we just give problems to students we don't involve them in the formulation of the problem.

This is known as an 'ideogram' or a conceptual picture of an abstract idea.

So what really matters are the more right brained creative, conceptual kinds of abilities.

And so that's a mathematical formulation of what it means for this plan to be a Goal.

We'll go back to the original problem formulation and look at some visualizations involving both theta zero and theta one.

Please watch the video. (Video starts) GREEN FLOAT is a new conceptual model for environmentally friendly cities.

Here, we will take a more conceptual approach to correlation and talk about how to interpret correlations?

Metaphor creates a kind of conceptual synesthesia, in which we understand one concept in the context of another.

Let me give you a conceptual idea for what I think this series could be and future series.

So my point is that in this course, we are taking a very conceptual approach to the Statistics.

Just to be clear, I think computers can really help with this problem, actually make it more conceptual.

But the point I want to make is that the most important transformation here is a conceptual one.

And so this is a great conceptual model to have of the world, unless you're a particle physicist.

This kind of is a conceptual way, which is, in my mind, the most important way to understand it.

Now, this is a funny sort of conceptual thing, and yesterday we were talking about Danny Hillis' 10,000 Year Clock.

That's why I gave all of you these, for free, and asked you to tell me about these conceptual bits.

And if students have a conceptual, deep understanding of algebra, then calculus is going to make a lot more sense.

And hopefully that will give you, an even better sense of what the cost function j is doing in the original linear regression formulation.

Professor Ghemawat, why do you still believe that the world is round? And I started laughing, because I hadn't come across that formulation before.

And the final, sort of, formulation of this American Idol format, which has just appeared in Afghanistan, is a new program called The Candidate.

Perception is based, to a very large extent, on conceptual models which are always inadequate, often incomplete and sometimes profoundly wrong.

The next piece I'll show you is a much more conceptual thought, and it's a little piece called Cory's Yellow Chair.

All language allows you to take a thought or mental object and break it down in a series of conceptual chunks.

And then in the third segment, we'll step back, take a more conceptual view, and think about how correlations are interpreted.

But when a task get's more complicated, when it requires some conceptual, creative thinking, those kinds of motivators demonstrably don't work.

You go from drug formulation, lab testing, animal testing, and then clinical trials, which you might call human testing, before the drugs get to market.

And then there are certain conceptual things that can also benefit from hand calculating, but I think they're relatively small in number.