news    views    podcast    learn    |    about    contribute     republish    
Share this article: facebook . twitter . linkedin . reddit

Talking Machines: The economic impact of machine learning, with Baidu’s Andrew Ng

June 4, 2015
Source: http://cs.stanford.edu/people/ang/
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.

Talking Machines
guest author
Talking Machines is your window into the world of machine learning.

comments powered by Disqus


inVia Robotics: Product-Picking Robots for the Warehouse
October 7, 2019

Are you planning to crowdfund your robot startup?

Need help spreading the word?

Join the Robohub crowdfunding page and increase the visibility of your campaign