jonathan_landy

7 ms·

1.
by jonathan_landy 2y ago
I like to drive. Edit: see also this pro-car, pro-toll note by Bryan Caplan. https://www.betonit.ai/p/cars-could-be-even-more-convenient
2.
by jonathan_landy 2y ago
You’ve done this sort of work? There are a few in Berkeley I would like to try my hand at…
3.
by jonathan_landy 2y ago
I guess it is nice to know that he is also not perfect. But it’s still the case that his accomplishments outshine my own, so my imposter syndrome remains intact.
4.
by jonathan_landy 2y ago
Seems to depends strongly on the model perhaps. The Reddit post says “Some other models tested that just didn't work: gpt-4o, gpt-o1, qwen qwq.” Notably gpt-4o was used in the post linked here.
5.
by jonathan_landy 2y ago
When I worked as a post doc, I wasn’t paid much but I got a direct return on extra work: another paper etc. when I got my first job as a data scientist, I was paid much more but there was seemingly little response to extra work. It was di
6.
by jonathan_landy 2y ago
First thing it makes we want to do is qualify success rates among individuals. Eg investors. Some are quite successful, but more so relative to what you’d expect give equal randomness?
7.
by jonathan_landy 2y ago
>> Some of the problems don’t matter as much if your goal for the model is just prediction, not interpretation of the model and its coefficients. But most of the time that I see the method used (including recent examples being distrib
8.
by jonathan_landy 2y ago
Neat, I wasn’t aware of available data like this. I recently bought a used smart car — lots of fun, but I admit I worried it was a death trap. It’s not in this list but a google showed they are actually not much worse than average. https
9.
A study has been following 'gifted' kids for 45 years. Here's what we've learned(upworthy.com)
9 points by jonathan_landy 2y ago|3 comments
10.
by jonathan_landy 2y ago
And which kind of thinking led you to assert he lived in us his whole life on the basis of what little you read?
11.
by jonathan_landy 2y ago
Love this. Very interesting that same amount of compression (samples) can give ever more accuracy if you do a bit more work in the decompression — by taking higher order fits to more of the sample points.
12.
by jonathan_landy 2y ago
I submitted it because I saw a comment somewhere else about the rich being locked into unfair advantages and classes ossifying. Seems to not be true if these stats are to be believed.
13.
Why Do 70% of Families Lose Their Wealth in the 2nd Generation? (2018)(nasdaq.com)
35 points by jonathan_landy 2y ago|50 comments
14.
by jonathan_landy 2y ago
Link below has some interesting plots. One shows child pedestrian deaths per 100k population going steadily down since 70s. Yet adult pedestrian deaths have recently ticked up. https://www.iihs.org/topics/fatality-sta
15.
by jonathan_landy 2y ago
And yet… the plug and play nature of many ML methods and their frequently positive impact when applied so has probably played a large part in the growth of the field.
16.
by jonathan_landy 2y ago
Re temp, I’m glad we use F for daily life in the USA. The most common application I have for temp is to understand the weather and I like the 0-100 range for F as that’s the typical range for weather near me. For scientific work I obviousl
17.
by jonathan_landy 2y ago
Would be more clear if impressive if could see what fraction of USA population is related to this one person.
18.
by jonathan_landy 2y ago
That all makes sense. On the other hand, next gen workhorses must often arise from people opting to do something new like this, rather than make do with the current gen workhorse.
19.
by jonathan_landy 2y ago
Is np.flatten not a workable option in some cases?
20.
by jonathan_landy 2y ago
Is the claim that there aren’t local many local minima for high dimensional problems eg in neural network loss functions?
21.
by jonathan_landy 3y ago
A couple hours watching a data scientist / ml engineer at work might be a useful way to pick up the work process. I certainly learned a lot by copying my seat mate in my first job.
22.
Alexandre-Théophile Vandermonde (2001)(mathshistory.st-andrews.ac.uk)
12 points by jonathan_landy 3y ago|1 comments
23.
by jonathan_landy 3y ago
Certainly a useful reference, if you might deal with the topic for some project … but not the best refresher out there for the basics.
24.
by jonathan_landy 3y ago
Matrix theory by Franklin is a great, affordable book containing many interesting results such as this — can highly recommend for those interested in linear algebra. https://www.amazon.com/Matrix-Theory-Dover-Books-Mathemati
25.
by jonathan_landy 3y ago
Surprised to learn that the clouds are constantly dissipating and have to be fed new vapor from the ground to be sustained; the fact that they go away on the time scale of the eclipse suggests it’a fast process. Then again, when a plane go