surething123

5 ms·

1.
by surething123 6y ago
It's not really a question of the "correct" data. To evaluate whether an observation is anomalous, you typically define a threshold for what's considered not-normal, e.g. an observation 2 or 3 standard deviations above t
2.
by surething123 6y ago
Why not learn R? In the last year I've spent around 80% of my time working with R, coming from the last five years almost exclusively with Python, and there are some great reasons to use R. Although if the tidyverse didn't exist I
3.
by surething123 6y ago
Not the person to whom you asked this question, but I'm also a user of TabNine. In my experience, the "recommendations" / autocompletions provided by the tool are usually very short (probably less than 20 characters on a
4.
by surething123 6y ago
Comparing income (GDP) vs. assets/market cap isn't really a meaningful comparison, here, as they're fundamentally different things.
5.
by surething123 6y ago
You might find this article insightful as to the utility of R-squared – "Is R-squared Useless?" https://data.library.virginia.edu/is-r-squared-useless/
6.
by surething123 6y ago
You could likely learn what not to do, from them :)
7.
Ask HN: Reading Related to Learning from Failure
2 points by surething123 6y ago|0 comments
8.
by surething123 6y ago
I worked on a project that basically was a very simple rules engine, encoding a bunch of domain knowledge in a digestible dashboard format, which happened to use a few predictive models' output as well to drive a few of the rules. The
9.
by surething123 6y ago
Yep. It may only take one or two false positives to lose a customer worth potentially orders of magnitude more than any particular item (depending on the price of the item, of course).
10.
by surething123 6y ago
Perhaps by forgetting to scan items stored on the bottom rack of your shopping cart.
11.
by surething123 7y ago
Your time must sure be valuable, at roughly $192 an hour ;)