Viewing profile — n3ur0n
n3ur0n
HN member- Joined
- Mon, May 21, 2018, 11:20 AM UTC
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- 39
- Public activity
- 8 items
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About n3ur0n
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Recent public activity
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Comment #38835424
I would say UDL should be very accessible to any undergrad from a strong program. I would not call the notation ‘dense’ rather it’s ‘abused’ notation. Once you have seen the abused…
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Comment #25739632
Given your background, I think it would be worthwhile for you to pick up ESL [0] and read some relevant sections (supervised/sparse/linear methods). It's a great book and a good st…
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Comment #25716459
Depends on the scope of the project. Would the goal be to come up with a better algorithm for cell classification based on histological images? Or to apply an existing algorithm to…
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Comment #25686794
I think it's partly the incentive structure that is to be blamed. Historically, quantitative PhDs in healthcare(medical physicists, statisticians, comp. genetics) have been underpa…
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Comment #25684852
I do respect your experience and take on the matter, however, let's replace this statement: "I'm an eye surgeon and self-taught machine learning practitioner, I started to learn Py…
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Comment #24275387
As a rising 5th year PhD in ML -- I could not agree with this advice more! I have very hands-off advisors. I spent the first 3 years "wandering the woods to find something". Last y…
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Comment #21879418
> just means trying out this statement trivializes a very hard problem. > literally just means trying out, or simulating Simulating is an incredibly hard problem and MC methods and…
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Comment #17117590
There is really no difference. You can frame the Kalman filter as a Bayesian posterior inference problem. For example, for a stationary linear Gaussian model, you have a transition…