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Saturday, October 1, 2016

Recent Big Data and Machine Learning Info Digest 2016/10/01

What are the major bottlenecks in making deep learning systems more effective (as of 2016)?

A Neural Network for Machine Translation, at Production Scale

Amazon's new GPU-cloud wants to chew through your AI and big data projects

Sentimental Analysis of the First Presidential Debate of 2016 Using Machine Learning

A Beginner's Guide to Apache Flink – 12 Key Terms, Explained

Announcing YouTube-8M: A Large and Diverse Labeled Video Dataset for Video Understanding Research
Posted by William at 11:46 PM
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Labels: AI, Amazon, Big Data, Cloud, Deep Learning, GPU, Hillary, Machine Learning, Presidential Debate, Quora, TensorFlow, Translation, Trump, YouTube

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