John D. Kelleher


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John D. Kelleher is a Professor of Computer Science and the Academic Leader of the Information, Communication, and Entertainment Research Institute at the Dublin Institute of Technology. He is the coauthor of Fundamentals of Machine Learning for Predictive Data Analytics (MIT Press).

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Data Science

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3.96 avg rating — 452 ratings7 editions
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Deep Learning

3.93 avg rating — 129 ratings3 editions
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Fundamentals of Machine Lea...

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4.43 avg rating — 76 ratings — published 2015 — 6 editions
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“An important aspect of the power of neural networks is that during training, as the weights on the connections within the network are set, the network is in effect learning a decomposition of the larger problem, and the individual neurons are learning how to solve and combine solutions to the components within this problem decomposition.”
John D. Kelleher, Deep Learning

“We cannot solve our problems with the same thinking we used when we created them. —Albert Einstein”
John D Kelleher, Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

“The backpropagation algorithm is possibly the most important algorithm in deep learning. However, a clear and complete explanation of the backpropagation algorithm requires first explaining the concept of an error gradient, and then the gradient descent algorithm.”
John D. Kelleher, Deep Learning

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