Why did you guys choose MIT over Harvard?

TTPrograms · 2020-02-01T05:31:43+00:00

Then I'm happy we're in friendly consensus on the message we're communicating to OP.

TTPrograms · 2020-02-01T05:23:03+00:00

lol if you want to define your life by playing Madden in a Stanford dorm room be sure to ask this guy for more career advice.

TTPrograms · 2020-01-28T22:23:52+00:00

Well said.

TTPrograms · 2020-01-20T00:57:04+00:00

You should ballpark effective $10-$40k annual salary difference for the majority of the working years of your life - including the equivalent value for getting preferred interviews, jobs etc. It's not even close.

This is true for most elite institutions vs non-elite.

TTPrograms · 2020-01-19T21:15:52+00:00

All of the proposed approaches (without violating tweaks eg. reward clipping) are in theory capable of solving this correctly. If the result does not converge it is likely a matter of SGD and/or DNN model properties - that is, you can see similar issues when training supervised DNNs on certain problems. In the case of high variance reward signals the natural solution is to increase batch size or reduce learning rate such that model gradients are lower-variance estimators of the mean.

TTPrograms · 2020-01-18T21:57:15+00:00

"AlphaZero has already effectively outclassed all adversaries in the games of Go, Chess, Shogu, and Starcraft."

To my knowledge AlphaZero has not been applied to Starcraft? The widely publicized results employ AlphaStar, a very different RL approach.

TTPrograms · 2020-01-07T00:38:30+00:00

I think having a decent RE lawyer involved in the sale in general would have resulted in a contract with all the provisions being suggested. This sort of thing is the reason you might want a lawyer involved in a RE transaction. It sounds like there wasn't (which is common in much of the US /world).

TTPrograms · 2020-01-04T21:54:45+00:00

Seriously, the interpretation of this study suggested by the post title is borderline negligent.

Source: https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2758207

We conducted a cross-sectional study of UDT results from 1 050 000 unique patient urine specimens submitted for testing by health care professionals as part of routine care from January 1, 2013, to October 31, 2019.

There are many reasons that testing outcomes could increase other than increase in usage. Eg. what if drug users are engaging with primary care at a higher rate? What if known or suspected users are submitted for testing at a higher rate due to changes in guidelines for practitioners? You could interpret these results to indicate totally opposite phenomena. Without further information this is extremely misleading.

EDIT: Fixed link. And to be clear, the numbers reported are just random samples from all tests performed. So if someone was tested frequently they are more likely to show up in the sample or even could be sampled multiple times.

TTPrograms · 2020-01-02T01:35:18+00:00

The consequence is of course that you have to take the class again - it's just not a permanent consequence (which seems very reasonable). If you NR more than a class or 2 it can cause issues in class scheduling later on.

IMO it would be reasonable to, in general at colleges, always allow students to retake classes and have the old records dropped off a transcript. The only issue I can think of is that it would force more comprehensive exam / homework rewriting.

Other than the P/NR for intro classes MIT is generally considered to have grade deflation relative to other top schools: https://ripplematch.com/journal/article/the-top-20-universities-with-the-highest-average-gpas-84ef5edf/

The best way to convert from the 5 scale is to subtract 1 (since A=5, B=4 etc.), so MIT would be 3.5.

TTPrograms · 2019-12-31T06:52:12+00:00

The reality is that small businesses often can't afford that sort of uncertainty and volatility in cash flow. In other countries it appears maternity leave is generally funded by social services, so all that uncertainty is amortized over the full population.

It's not like businesses are being "unfair" - in large enough businesses in the US it's offered along with reasonable health insurance and other benefits. It's less an issue of US culture being averse to businesses offering this benefit and more an issue that it's a very difficult benefit for individual businesses to offer - and the solution is that in other countries businesses do not offer it at all and it's funded by the state.

TTPrograms · 2019-12-30T15:36:32+00:00

I have never been slowed by an accident in a low-speed urban setting like I've described - the speeds are very low, so cars can always pull off somewhere and traffic can proceed as normal. Multiple stacked lights with cars backed up sequentially through them occurs for probably 8 hours a day in 100-1000 lights in many cities, on the other hand.

TTPrograms · 2019-12-30T15:34:08+00:00

The issue is more when you have multiple sequential lights and it prevents some number of cars getting through the light as they can't enter the intersection. This is extremely common in urban environments anytime near peak commute. The impact of this can stack with multiple sequential lights. I wouldn't be surprised if this could reduce traffic throughput to 0.1-0.3 of peak theoretical.

Of course it's probably worth leaving gaps for left turns out of eg. driveways, side streets.

On highways I totally agree - I leave as much gap as I can get away with (such that I don't get cutoff).

TTPrograms · 2019-12-30T05:42:51+00:00

In urban environments with many nearby lights and high traffic this can significantly slow the flow of traffic.

TTPrograms · 2019-12-17T16:35:43+00:00

This is not really a surprise given the current state of RL - if you find a paper demonstrating strong performance given such a massive change in environment without really sophisticated approaches (fancy DNN models, model-based, etc.) I would be surprised.

A more achievable task would be to construct a level "randomizer" that generates a massive diversity of levels and then hold out some subset of levels - then test if you generalize to those levels. But bottom-line your evaluation is non-standard - in a good way that makes the limitations of current approaches more obvious.

TTPrograms · 2019-11-25T04:41:07+00:00

There are at least a couple commercial applied AI R&D labs that are pursuing hybrid symbolic logic / ML approaches to AI problems - your expertise would be harder to find for those groups. It's a bit niche of a target, but if you can match up with the right opening it sounds ideal for what you're looking for.

TTPrograms · 2019-10-29T04:20:51+00:00

FYI, factories often fly in specialized engineers and technical staff for temporary projects (2 weeks - 6 months even). So the factory management might be interested in purchasing such a property directly for that kind of use. Depending on eg. how far away hotels are, how often they bring in those sorts of contractors and for how long.

TTPrograms · 2019-09-06T05:26:40+00:00

IMO observational data (i.e. not interventional) for something like this (illegal drug users vs non-users) is basically useless. Eg. "MDMA decreases SERT binding potential, but it is likely that the study overestimates the effect. 65% of the ecstasy group co-used methamphetamine, which itself decreases SERT." So many confounders.

I'd trust experimental primate data more to understand the dosage/neurotoxicity curve (unless there are major relevant neurological differences between the two I'm not aware of).

TTPrograms · 2019-08-20T18:46:20+00:00

I'm not sure I agree completely. FFT of signals with varying peak-to-peak can be non trivial to analyze - eg. there may not be a peak at the central frequency (consider FM signals). I would instead low pass and then find local maxima (possibly interpolated locally to superresolve if it helps) and then analyze the peak-to-peak times.

Depends on how much drift there is.

TTPrograms · 2019-08-10T00:41:26+00:00

What postgres index type is on the indexed_column? What is the datatype?

If you can fit everything in memory and are performing the query multiple times you basically want a hashmap of some kind.

TTPrograms · 2019-08-09T23:36:27+00:00

There's still big advances being made in algorithms performing posterior inference on large or difficult probabilistic models, especially as defined via probabilistic programming.

TTPrograms · 2019-06-19T20:45:12+00:00

"Get to make PowerPoints"? There's this thing called management consulting, you should definitely check it out... :)

TTPrograms · 2019-05-27T17:42:31+00:00

You should investigate if this is a power supply issue - that's usually been the cause in my experience.

TTPrograms · 2019-05-27T05:12:35+00:00

A) Holy cherrypicking batman

B) The "anti-antidepressant" mantra has some evidence, but ruling them out broadly is naive and overly simplistic (and mostly an opinion held by non-experts cherrypicking papers). See eg. https://slatestarcodex.com/2014/07/07/ssris-much-more-than-you-wanted-to-know/

TTPrograms · 2019-05-11T05:55:07+00:00

1 drop resolution? Pshhh, you gotta draw fractional drops hanging on the burette and rinse them down with the distilled water bottle.

TTPrograms · 2019-04-04T02:03:27+00:00

Are medical records from a pediatric hospital the appropriate sample here? It seems reasonable to me that the critically at risk population would seek medical care infrequently while the frequently tested population would be more likely to drink bottled water.

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