Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
dxbydt
searching PlanetScale…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
43 ms
·
391.
▲
by
dxbydt
9y ago
So "most read" doesn't include people who actually read physical books! Just people who listen to books via audible, and people who swipe pages via kindle ( ok that still counts as reading, but real reading in my books ahem..
392.
▲
by
dxbydt
9y ago
This is a fantastic link & I love the discretely sorted topics with ratings (could be more granular but its a start). Is there a similar link for other PLs notably more pedestrian langs like Java/Python/C ?
393.
▲
by
dxbydt
9y ago
I'll go out on a limb & say there's different kinds of pain. If you are doing "cardio with weights" - ie. you can comfortably bench 100 lb, but you are doing 200 reps of 30 pound - that's pain A. If you can comf
394.
▲
by
dxbydt
9y ago
Honest question - as a non-user who has dabbled in pain-dampening aids, how effective is it? In particular, there is this great scene in American Beauty ( https://www.youtube.com/watch?v=AVpsmoAe9pM ) where Lester smokes po
395.
▲
by
dxbydt
9y ago
Everybody I know and his cat has read the book. Give us another book. How about reprinting the old adgrok blog posts about why SF is better than nyc because person in NYC is significant only if they showed up in the Sunday marriage section,
396.
▲
by
dxbydt
9y ago
He's a nice guy. But his book is way past its sell-date - time to stop milking it so much & get on to the next gig/book/whatever. https://news.ycombinator.com/user?id=antongm
397.
▲
by
dxbydt
9y ago
Ha! I figured out the reason even before I read the whole article... always a gratifying feeling. That said, there are tons of food hacks if you want to save 30-40% and have a strong stomach. Buy your cashews, cumin seeds, turmeric, groundn
398.
▲
by
dxbydt
9y ago
Frankly, the "present state of cv" as you call it, is far far ahead of the 5% classification errors you are running into on a standardized textbook problem such as this - the Legos are all blocky discrete plastic with super-satura
399.
▲
by
dxbydt
9y ago
Can you publish the details of the h/w-s/w interface...the only piece I grokked was the vgg classifier. How do you go from a physical Lego on the hopper to jpg to class label to the lego in the correct physical bin ? I'd like
400.
▲
by
dxbydt
10y ago
> Twitter's revenue is $2 billion+, Facebook is $27 billion+. Snap's $400 million looks measly Apples to apples etc... TWTR revenue 665M in 2013 (the year they went public) TWTR revenue 316M in 2012 (the year before) FB rev 5.0
401.
▲
by
dxbydt
10y ago
Provenance of data was not in scope, 'twas more of a standard datamining "see if you can dig up something interesting" project. Like I said, there were scores of these - one of my colleagues wrote the famous soda vs pop thi
402.
▲
by
dxbydt
10y ago
>Except when Twitter makes that a heuristic for detecting bots There are several dozen. Maybe not turned on in prod, but that's a whole another story. In fact, within three months of joining, way back in 2012, one of my very first t
403.
▲
by
dxbydt
10y ago
> Anecdotally, there is a ton of money left on the table by established businesses... True. fwiw, I worked on the same project at Twitter 4 years back - the Facebook folks call it capacity planning at scale, we called it capacity utiliz
404.
▲
by
dxbydt
10y ago
It is anecdotal insofar as the anecdotes are from my limited cohort ( few dozen subredditors who have signed up with weightgreat.com ). Also, you are right about the multicollinearity issues ( supper time predictor entangled with other pred
405.
▲
by
dxbydt
10y ago
You have a point. Details - I build weight nodels related to food dairies. I have a few dozen redditors ( mostly from the loseit subreddit ) who have signed up. They send me their food dairy and weight everyday via the free WeightGreat.com
406.
▲
by
dxbydt
10y ago
It definitely works. Among the people I have looked at and modeled, supper timing is definitely correlated to weight gain. If you are interested I can link to some preliminary modeling I have done.
407.
▲
by
dxbydt
10y ago
The article cites major caveats - 1. Cohort size of children eating after 8pm is much smaller than before - mostly because the kids are in bed by then ( they are looking at 4-10 year olds ) 2. Self reported Food Diaries are seldom accurate.
408.
▲
Modeling human weight
(medium.com)
2 points
by
dxbydt
10y ago
|
0 comments
409.
▲
by
dxbydt
10y ago
Even in commutative algebra, there is a fair amount of guesswork. If I tell you that 2+3=4 in an abelian group with {2,3,4}, then ask you what is 2+4, you will immediately guess 2+4=2. Its just what the millennials term "stupid obvious
410.
▲
by
dxbydt
10y ago
"Nutritionist" == RD exam => government licensure (required by every state in the US except 4. In AZ, MI,NJ,CO you don't even need the license [1]) However, the RD exam is a mishmash of several ill-specified fields with du
411.
▲
by
dxbydt
10y ago
As an immigrant, I'd say you are definitely on to something here, with your 3-2-1 reverse approach. In fact, if you look at a typical village in India, the housewife isn't going to have the time or means to "visit a preferred
412.
▲
by
dxbydt
10y ago
Try a good subreddit. So far spent <$5, got 300+ impressions, 5 click throughs and 5 subscriptions.
413.
▲
by
dxbydt
10y ago
Hey thanks! I prefer the CMJ ( http://www.maa.org/press/periodicals/college-mathematics-jou... ) to AMM etc. because your proof is ultimately undergrad math - some calculus, complex analysis, change of coords and in
414.
▲
by
dxbydt
10y ago
> prove that a unit weighted linear model will get the same result as the optimal linear model 75% of the time on average This is such an important result & yet doesn't seem to be a widely known result. Your proof is very well d
415.
▲
by
dxbydt
10y ago
Say Jack choose to make a meal everyday, while Jill chooses the Soylent. If both Jack and Jill start at the same baseline weight and both eat the same number of calories via meal or via Soylent, who is going to lose weight faster ?
416.
▲
by
dxbydt
10y ago
I got hired at Twitter(pre-IPO) through the monthly Who's Hiring post. Definitely the best outcome from multiple povs - career, money, learning, future-proofing. I would literally not be able to do what I am doing today if I hadn'
417.
▲
by
dxbydt
10y ago
There's like a dozen comments saying this is a plug for Hackerrank. Yeah, that's obvious. What's not so obvious is that there are 1000+ YC companies, none of whom get this kind of coverage on Bloomberg even if they bend over
418.
▲
by
dxbydt
10y ago
This - > a quick warning to machine-learning grad students: You’re not going to raise on an algorithm...they are going to ask you: Why should the world care? And this - > To get users, you need a product, to get a product, you need f
419.
▲
by
dxbydt
10y ago
I have done something similar. Lost a lot of money in the immediate short term, but the long term benefits after 2+ years were worth every penny. A chance to upgrade your skills and work on something that excites you is imho priceless. You
420.
▲
by
dxbydt
10y ago
I complete disagree. Dr.Neal Koblitz (inventor of elliptical curve cryptography)spent a good bit of his life fighting this obsession with bringing the computer into math so things can be visualized & manipulated. You should check out wh
More ›