JunaidB

5 ms·

1.
Shortest Paths: Dijkstra’s Algorithm(scienceofdata.org)
2 points by JunaidB 6y ago|0 comments
2.
Being a Data Scientist at a Tech Startup(scienceofdata.org)
3 points by JunaidB 7y ago|0 comments
3.
by JunaidB 7y ago
I think this is a concise and good overview of ML model evaluation. I was recently thinking along the same lines and posted it on my blog here: https://scienceofdata.org/2020/02/23/ml-classifier-evaluatio...
4.
A first look at Machine Learning Classifier evaluation(scienceofdata.org)
3 points by JunaidB 7y ago|0 comments
5.
by JunaidB 7y ago
This seems like an excellent review. I'll check it out. Thanks very much!
6.
by JunaidB 7y ago
Your point about convergence to the exact minima over training loss not guaranteeing the best generalization loss reminds me of the point made in this lecture here https://www.youtube.com/watch?v=k3AiUhwHQ28 . You also made
7.
by JunaidB 7y ago
Thank you for taking the time to write a thorough and considerate response. I have been working through the Engineering Optimization Methods and Applications by Ravindran, Ragsdell and Reklaitis so far but I will spend some time in the comi
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by JunaidB 7y ago
That's a great point and to be honest I could have been a lot tighter with the terminology. Good advice to take on board for next time - thanks! Your point about combining optimisation techniques is interesting and I'd love to lea
9.
by JunaidB 7y ago
This is a really important point and I wish I'd mentioned it. The computational considerations (as you've said) make the classic Gradient Descent method infeasible in practice. Therefore we resort to stochastic estimates or Quasi
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by JunaidB 7y ago
Not rude at all! Thanks for the question. My background is in Statistics not Machine learning (that came later) so I covered these topics without reference to ML applications. I suppose I never learned to connect these ideas when I was lear
11.
by JunaidB 7y ago
Thank you for taking the time to look through the post. When I learned this formally it was introduced as steepest descent (Cauchy's variant). Like yourself, it didn't become concrete to me until I looked at the surface plots. I c
12.
Why “Gradient” Descent?(scienceofdata.org)
105 points by JunaidB 7y ago|26 comments
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Gradient Descent: The Workhorse of Machine Learning(scienceofdata.org)
2 points by JunaidB 7y ago|0 comments
14.
Job Searching in Data Science(scienceofdata.org)
3 points by JunaidB 7y ago|0 comments
15.
Naive and Proud: Introducing the Naive Bayes Algorithm(scienceofdata.org)
1 points by JunaidB 7y ago|0 comments