How do you learn new, rich concepts from very little data? To date, machine learning has been primarily about pattern recognition. How can machine learning go beyond merely recognizing patterns, to explaining what is behind those patterns?
Josh Tenenbaum, Guest Expert in the Machine Learning in Business online short course from MIT Sloan and MIT CSAIL, elaborates on the future of machine learning and how it may start to learn like the human brain.
Tenenbaum is a professor of computational cognitive science in MIT’s department of Brain and Cognitive Sciences and a scientific director with the MIT Quest for Intelligence. His research goals are to reverse engineer human intelligence and to build machines that behave in human-like ways and have greater use to society.
This program from MIT explores technical aspects of machine learning, but focuses on empowering you to ask the right questions about whether machine learning applications will benefit a particular business problem or make your organization more efficient.
Develop a road map for using AI in your organization to achieve a competitive advantage.
Six weeks, entirely online.
View course:
https://www.getsmarter.com/products/mit-sloan-machine-learning-in-business-online-program?utm_source=organic_social&utm_medium=youtube&utm_campaign=content_pieces&focused=true
Learn more about machine learning and AI in business with MIT:
https://mit-online.getsmarter.com/presentations/index/mit-ai/
0:00 Intro
0:15 How artificial intelligence learns like the human brain
1:40 The MNIST data set
2:38 What’s next for machine learning?
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GetSmarter™ is a brand of 2U, Inc., the parent company of edX. GetSmarter helps working professionals gain verifiable skills from leading global universities to thrive in an ever-changing work environment.
https://www.getsmarter.com/
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