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Skander H.
  • Member for 6 years, 8 months
  • Last seen more than a month ago
  • Seattle, WA, USA
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87
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About

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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Top posts
View all questions and answers
All Questions Answers
Score Newest
question
38
Why doesn't regularization solve Deep Neural Nets hunger for data?
May 11, 2018
question
35
How to handle a "self defeating" prediction model?
Oct 22, 2018
answer
24
Do neural networks learn a function or a probability density function?
May 21, 2018
answer
23
Mathematical/Algorithmic definition for overfitting
Jul 2, 2019
answer
21
Is it possible to automate time series forecasting?
Dec 6, 2018
answer
21
Can someone explain the importance of mean stationarity in time series?
Jun 1, 2020
answer
18
Why is Kullback-Leilbler divergence a better metric for measuring distance between two probability distributions than squared error?
Jun 1, 2019
question
18
On George Box, Galit Shmueli and the scientific method?
Jun 14, 2019
question
18
If an auto-regressive time series model is non-linear, does it still require stationarity?
Apr 9, 2018
answer
17
How to Handle Many Times Series Simultaneously?
Jun 10, 2019
Top Meta posts
7
1
16
Are you allowed to edit an answer that you disagree with?
15
Why do we have a tensorflow tag if questions about programming are off topic?
12
Should we start redirecting "why are my forecasts shifted one step ahead from the actuals" questions to a community wiki?
7
Is the datascience SE harming CV's answer rate?
7
Question is getting close votes, even after I added the requested clarification

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