Scalable Machine Learning using Spark and Python

ABSTRACT: Deep architecture helps in the representation of high-level abstractions as in vision, language, speech and other AI-level tasks. A deep architecture is composed of multiple levels of non-linear operations. Learning algorithms like Deep Belief Networks have recently been proposed to tackle these problems with a notable success.[1] A couple of years ago, The New York Times wrote a story about Google using a network of 16,000 computers to teach itself to identify images of cats. That is a difficu
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