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Skander H.

AI / ML / Data Science person.

More practitioner than advanced theoretician.

I spend my days helping business people figure out which ML or statistical models they can use to solve their challenges, and my nights wishing Deep Learning could be used with everything, everywhere, all the time (it can't).

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  • Seattle, WA, USA
  • Member for 5 years, 4 months
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  • Last seen 14 hours ago

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37 Why doesn't regularization solve Deep Neural Nets hunger for data? May 11 '18
35 How to handle a “self defeating” prediction model? Oct 22 '18
23 Mathematical/Algorithmic definition for overfitting Jul 2 '19
21 Do neural networks learn a function or a probability density function? May 21 '18
20 Is it possible to automate time series forecasting? Dec 6 '18
18 Can someone explain the importance of mean stationarity in time series? Jun 1 '20
18 On George Box, Galit Shmueli and the scientific method? Jun 14 '19
17 If an auto-regressive time series model is non-linear, does it still require stationarity? Apr 9 '18
16 Why is Kullback-Leilbler divergence a better metric for measuring distance between two probability distributions than squared error? Jun 1 '19
13 gradient descent and local maximum Aug 14 '18
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