SXSW Interactive 2016
The Secrets of Machine Learning Revealed
Machine learning is not black magic, it's the automation of discovery - the scientific method on steroids. And the key ideas, once you peel away the math and jargon, are remarkably intuitive. Discover how we teach machines to learn, and what they teach us in return, from Pedro Domingos - world leader in the field, winner of the SIGKDD Innovation Award (a.k.a. Nobel prize of data science), and author of "The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake our World." Find out about the five tribes of machine learning - symbolists, connectionists, evolutionaries, Bayesians, and analogizers - and what you can take from each to invent your own master algorithm.
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Takeaways
- What are the five most important ideas in machine learning?
- How do I choose - or create - the best learning algorithm for my problem?
- What are the three most frequent ways that data science projects fail, and how do I avoid them?
Speakers
- Pedro Domingos, Professor, University of Washington
Organizer
Pedro Domingos, Professor, University of Washington
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