I learned a lot.

So, tissue design.

And it's not based on theology or philosophy, it's in the study of the mind, across all these spheres of research, from neuroscience to the cognitive scientists, behavioral economists, psychologists, sociology, we're developing a revolution in consciousness.

So anyway, even if I do not understand science entirely, for my design I essentially refer to it.

(Video Presenter)

We investigate claims of the paranormal, pseudo science, fringe groups and cults, and claims of all kinds between, science and pseudo science and non science and junk science, voodoo science, pathological science, bad science, non science, and plain old non sense.

Here's the kind of questions that are becoming interesting questions for philosophers, for governing people, for economists, for scientists.

Just to recap, in the class we learned about localization. Localization

Um, listen, you two are going to fight like hooded roosters.

And these machine learning techniques are the enabling techniques that make that possible.

By learning the recorder, we learn about music.

So any idea what your major might be?

So congratulations.

That was the triumph of Neo Darwinism and so forth.

Computer simulation tends to be viewed as ... rocket science.

Some of our students are burgeoning, writers, scientists, mathematicians.

So that's the personal reason.

It's important to stick with that definition.

I'm Gever Tulley.

y eah, yeah. really?

In order to predict effectively, we need to use science.

And actually, you'll find that in most applications, that's what you end up doing anyway, because most differential equations you encounter in science or with any kind of science, whether it's economics, or physics, or engineering, that they often are unsolveable, because they might have a second or third derivative involved, and they're going to multiply.

We do this as children, we do this even as adults, we do this as elder.

Watch and learn.

There is only one option,

This school supplies textbooks to its students.

We now know how to make basic requests with urlLib.

But eventually, his ideas won out. Today, they're considered fundamental and magnificent.

This program started with 16 schools and spread to 1,500 government schools.

This approach has been very successfully applied to many complex systems in physics, biology, computer science, the social sciences, but what about economics?

And how did we divide them into five senses? The answer is science.

Welcome to the first class on machine learning.

I will learn.

The study of philosophy belongs to the humanities.

Every time I've visited China, I've learned from their scientists.

So, besides this freakish thing, this is my science slide.

So keep these questions coming.

And we'll begin to talk about the main types of machine learning problems and algorithms.

Well first of all, understanding the field of algorithms and also the related field of data structures, is crucial for doing serious work in pretty much any other branch of computer science.

And by the time I turned 16,

What is in that building?

So, let's begin with the beginning. A camera creates an image of the external world.

Maybe the real question is, I look at life and say there's two master lessons.

To you learn by envisioning yourself as a scientist, and then you learn to envision yourself as a scientist.

So I want to tell you about that.