Podcast about Nothing Episode 2 Machine Learning

This is the cocktail party algorithm as implemented in Matlab discussed in this podcast

Sources for this Podcast:




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AMA Andrew Ng and Adam Coates

Dr. Andrew Ng is Chief Scientist at Baidu. He leads Baidu Research, which includes the Silicon Valley AI Lab, the Institute of Deep Learning and the Big Data Lab. The organization brings together global research talent to work on fundamental technologies in areas such as image recognition and image-based search, speech recognition, and semantic intelligence. In addition to his role at Baidu, Dr. Ng is a faculty member in Stanford University’s Computer Science Department, and Chairman of Coursera, an online education platform (MOOC) that he co-founded. Dr. Ng holds degrees from Carnegie Mellon University, MIT and the University of California, Berkeley.Dr. Adam Coates is Director of Baidu Research’s Silicon Valley AI Lab. He received his PhD in 2012 from Stanford University and subsequently was a post-doctoral researcher at Stanford. His thesis work investigated issues in the development of deep learning methods, particularly the success of large neural networks trained from large datasets. He also led the development of large scale deep learning methods using distributed clusters and GPUs. At Stanford, his team trained artificial neural networks with billions of connections using techniques for high performance computing systems. via /r/MachineLearning http://ift.tt/1GERnCj

Free Books Related to the Singularity

These are in the order of how interesting I found them. The first is very graphic so I’d advise against reading it if you are young or easily offended.

Metamorphosis of Prime Intellect
my review

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All You Zombies -not on the singularity exactly but an amazing story.

Harry Potter Methods of Rationality by Eliezer Yudkowsky

Artificial Evil

my review

Rapture of the Nerds

I don’t know, Timmy, being God is a big responsibility



The Egg

The Last Question by Isaac Asimov

Robots Will Steal Your Job but That’s Ok