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Personalization Using Neural Networks

What do I want to watch tonight? What is the next book I might want to read? Those types of questions are usually answered through the suggestions that are embedded into your screen when you’re about to make your selections either on your phone, computer, tablet, or television. Initially, or as I recall, these recommendations were […]

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The Tensorflow Weakness is a Gluon Strength

On October 12, 2017, Gluon became available to the public. Microsoft’s partnership with Amazon finally has a chance to outshine Google with its great TensorFlow. Gluon is a deep learning multiplatform tool which currently utilizes Apache MXNet and soon will work on Microsoft Cognitive Toolkit (CNTK) as well as other platforms to come shortly after. […]

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Machine Learning Pt. 3: We Need to Build a Computer/Brain Thingy

In previous posts I have discussed the algorithms and applications of machine learning. One of the most sophisticated forms of machine learning is building a neural network that mimics the flesh-and-blood brain – with software- or hardware-based versions of neurons and synapses. But silicon operates differently than the stuff in our brains. In the past, researchers have suspected an entirely […]

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Spam is dead! Well, at least for Google Mail users

Last week, Google announced some astounding statistics about the success rate of their spam filtering technology in Google Mail.  Google says that less than 0.1% of email in the average user’s Gmail inbox is spam, and the rate for legitimate email ending up in the spam folder is even lower at less than %0.05. Despite these superb […]

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