Category Archives: neural networks

6 Roads to Prediction: Machine Learning Algorithms (Infographic)

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The Role of Data in Statistical Modeling and Machine Learning

Oliver Schabenberger, EVP and CTO, SAS, on The difference between Statistical Modeling and Machine Learning: We can… distinguish statistical modeling, classical machine learning and modern machine learning by the role of the data. In statistical modeling, the data guide us to … Continue reading

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Neural Networks Typology

Source: The Asimov Institute With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing all the abbreviations being thrown around (DCIGN, BiLSTM, DCGAN, anyone?) can be a bit overwhelming at first. So … Continue reading

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A Reasonable Discussion of Deep Learning’s Great Expectations

Luke Hewitt: I have no doubt that the next few years will see neural networks turn their attention to yet more tasks, integrate themselves more deeply into industry, and continue to impress researchers with new superpowers. This is all well … Continue reading

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Hype Curve of (Hardware) Neural Networks

2013: Qualcomm has presented their Zeroth processor for brain-inspired computing. 2012: Google X has been working on implementing the largest Deep Neural Network to date on a 16,000-node server. 2012: Microsoft Research is applying neural networks to general-purpose (approximate) computing … Continue reading

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