Pedro Domingos on Machine Learning and the Master Algorithm

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4.7 • 4.4K Ratings

🗓️ 9 May 2016

⏱️ 66 minutes

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Summary

What is machine learning? How is it transforming our lives and workplaces? What might the future hold? Pedro Domingos of the University of Washington and author of The Master Algorithm talks with EconTalk host Russ Roberts about the present and future of machine learning. Domingos stresses the iterative and ever-improving nature of machine learning. He is fundamentally an optimist about the potential of machine learning with ever-larger amounts of data to transform the human experience.

Transcript

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0:00.0	Welcome to Econ Talk, part of the Library of Economics and Liberty.
0:09.2	I'm your host, Russ Roberts, of Stanford University's Hoover Institution.
0:13.7	Our website is econtalk.org where you can subscribe, comment on this podcast, and find
0:18.7	links and other information related to today's conversation.
0:21.7	You'll also find our archives where you can listen to every episode we've ever done
0:25.8	going back to 2006.
0:28.2	Our email address is mailadycontalk.org.
0:30.7	We'd love to hear from you.
0:34.6	Today is May 2nd, 2016, and my guest is Pedro Dominguez of the University of Washington,
0:41.2	an author of the master algorithm.
0:43.5	How the quest for the ultimate learning machine will remake our world.
0:48.1	Pedro, welcome to Econ Talk.
0:49.7	Thanks for having me.
0:51.7	So this book is an introduction to machine learning.
0:54.2	It's an introduction to a world that actually we're all immersed in without realizing in
0:59.4	most of us, as well as its implications for our lives and the future humanity.
1:06.9	It's a really fascinating book.
1:09.0	We're going to go through its main ideas today.
1:11.9	Let's start with the most basic one.
1:13.4	What is machine learning?
1:15.0	Machine learning is computers programming themselves instead of having to be programmed
1:19.5	by us.
	...

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