The Economic Impact of Machine Learning and Using The Kernel Trick on Big Data
Podcast |
Talking Machines
Media Type |
audio
Categories Via RSS |
News
Tech News
Technology
Publication Date |
Jun 04, 2015
Episode Duration |
00:40:36
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.

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