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Talking Machines: The economic impact of machine learning, with Baidu’s Andrew Ng
Source: Stanford University
In episode twelve we talk with Andrew Ng, Chief Scientist at Baidu, about how speech recognition is going to explode the way we use mobile devices and his approach to working on the problem.
We also discuss why we need to prepare for the economic impacts of machine learning. We’re introduced to Random Features for Large-Scale Kernel Machines, and talk about how using this twist on the Kernel trick can help you dig into big data. Plus, we take a listener question about the size of computing power in machine learning.
tags: Algorithm AI-Cognition, Andrew Ng, Baidu, c-Consumer-Household, cx-Research-Innovation, machine learning, Stanford
Talking Machines
is your window into the world of machine learning.
Talking Machines
is your window into the world of machine learning.
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