Name: ペドロ・ドミンゴス"The Master Algorithm" ｜Googleでの講演会の様子 (Pedro Domingos: "The Master Algorithm" | Talks at Google)
Uploaded: 2021-01-14T05:51:07.000Z
Duration: 1 h 47 s
Description: VoiceTubeの動画で発音を聞きながら英語表現を覚えよう！学べる英語：

Today, our guest speaker is Pedro Domingos,

whose new book is called "The Master Algorithm."

We have it here and you can buy copies outside.

Our guest, Pedro Domingos, is at the very forefront

of the search for the master algorithm, a universal learner

capable of deriving all knowledge, past, present

Pedro Domingos is a professor of Computer Science

and Engineering at the University of Washington.

He's the co-founder of the International Machine Learning

Pedro received his MS in Electrical Engineering

his Master's of Science and PhD in Information

and Computer Science from the University of California

He spent two years as an assistant professor at IST

before joining the faculty of the University of Washington

Pedro is the author or co-author of over 200

technical publications in machine learning, data mining,

He is the winner of the SIGKDD Innovation Award, the highest

He's an AAAI Fellow and has received the Sloan Fellowship

and NSF Career Award, a Fulbright scholarship, an IBM

Faculty Award, several best paper awards,

He's a member of the editorial board of "The Machine Learning

Please join me in welcoming Pedro, today, to Google.

Let me start with a very simple question--

Until very recently, it came from just three sources, number

one, evolution-- that's the knowledge that's

encoded in your neurons-- and number three, culture,

by talking with other people, reading books, and so on.

everything that we are basically comes from these three sources

Now what's quite extraordinary is just, only recently,

there's a fourth source of knowledge on the planet.

There's more and more knowledge now that comes from computers,

And this is as big of a change as the emergence

Like evolution, right, well, that's life on earth.

Experience is what distinguishes us mammals from insects.

And culture is what makes humans what we are

Notice, also, that each of these forms of knowledge discovery

is orders of magnitude faster than the previous one

and discovers orders of magnitude more knowledge.

And indeed, the same thing is true of computers.

Computers can discover knowledge orders of magnitude

faster than any of these things that went before

and that co-exist with them and orders of magnitude more

of the knowledge in the world in the future

So this is a major change that, I think, is not just for us

computer scientists to know about and deal

with, it's actually something that everybody

So how do computers discover new knowledge?

This is, of course, the province of machine learning.

And in a way, what I'm going to try to do in this talk

is try to give you a sense of what machine learning is

If you're already familiar with machine learning,

this will hopefully give you a different perspective on it.

If you're not familiar with machine learning already,

this should be quite fascinating and interesting.

So there are five main paradigms in machine learning.

And I will talk about each one of them in turn

and then try to step back and see, what is the big picture

and what is this idea of the master algorithm.

The first way computers discover knowledge

is by filling gaps in existing knowledge.

Pretty much the same way that scientists work, right?

And then you adapt them, or throw them away