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The Economic Impact of Machine Learning and Using The Kernel Trick on Big Data
Talking Machines
English - June 04, 2015 13:57 - 40 minutes - 37.2 MB - ★★★★★ - 140 ratingsTechnology News Tech News computer science aiml research artificial intelligence networks deep programming intelligence artificial computers Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: How We Think About Privacy and Finding Features in Black Boxes
Next Episode: Working With Data and Machine Learning in Advertising
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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