Are We Too Smart for Our Own Good?: How Large-Scale Machine Learning Systems Can Vastly Exceed Human Level Decision-Making Abilities
Description
The ability to harness big data with smart algorithms and massive computing power has recently produced significant technological gains in many areas of business and society in general. This talk will give a brief history of machine learning and its relationship to the field of artificial intelligence, while providing an overview of the mathematical, computational, and algorithmic abstractions that underlie machine-learning methods. These abstractions, combined with advances in other areas of computer science, are driving the development of very large-scale machine learning systems that can vastly exceed human level decision-making abilities.
Location
Loeb Playhouse
Start Date
9-18-2014 1:00 PM
DOI
10.5703/1288284315958
Are We Too Smart for Our Own Good?: How Large-Scale Machine Learning Systems Can Vastly Exceed Human Level Decision-Making Abilities
Loeb Playhouse
The ability to harness big data with smart algorithms and massive computing power has recently produced significant technological gains in many areas of business and society in general. This talk will give a brief history of machine learning and its relationship to the field of artificial intelligence, while providing an overview of the mathematical, computational, and algorithmic abstractions that underlie machine-learning methods. These abstractions, combined with advances in other areas of computer science, are driving the development of very large-scale machine learning systems that can vastly exceed human level decision-making abilities.
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