dbecker

7 ms·

1.
by dbecker 3y ago
> These ML-compilers are being overhyped. It's all the same trade-off as a traditional compiler Funny you should say that. Because traditional compilers have been incredibly useful.
2.
by dbecker 3y ago
The people who build this all leave on October 15? What could possibly go wrong with that?
3.
by dbecker 3y ago
Were you using the base model or the conversational model? The post says: The base model has no prompt format. Remember that it’s not a conversational model or trained with instructions, so don’t expect it to generate conversational respons
4.
by dbecker 3y ago
I've tried AutoGPT agents about 10 times for tasks that seem like they'd be a good fit. That meaning they need to scrape current data, but otherwise they'd be possible for a person willing to put in some time to combine data
5.
by dbecker 3y ago
I tried this a few times about a month ago. It sounded cool, and the experience of using it was even better than I expected. I'm glad it was reposted so I get another chance at developing a habit of using it.
6.
by dbecker 5y ago
> That’s actually exactly how vegetarian buffets work. I'm going to go out on a limb and guess you don't visit many restaurants that advertise vegetarian buffets
7.
by dbecker 5y ago
Streamlit is awesome. It's nicer than sending someone static results, and it isn't much more effort. And vastly better than sending a notebook to someone unless you expect them to modify the notebook a lot. And learning time to ma
8.
by dbecker 6y ago
This is really nice work. If you had a mechanism to subscribe for future updates, I'd do it. Either way, this is cool stuff.
9.
by dbecker 6y ago
The author starts with The data science world may reject me and my lack of both experience and a credential above a bachelors degree More likely the data science world will reject him because he is so confident a field he has so little ex
10.
by dbecker 7y ago
If you send me an email (dan@kaggle.com) I'd love to set up a time to show you some mockups that may be the solution you are looking for.
11.
by dbecker 8y ago
spaces.dev is still available, in case someone wants to buy it and redirect to something like tabs.com
12.
by dbecker 9y ago
I haven't worked for an employer that's held that view since high school (when I bagged groceries). I'm skeptical any successful business treats high-skilled employees that way.
13.
by dbecker 9y ago
But it's much cheaper than in-person lessons.
14.
by dbecker 9y ago
I'm the lead on the Kaggle Learn project, and the author of the deep learning track. I'm happy to answer questions here. I agree with the commenter saying you need to do your own projects to understand these topics. Our deep learn
15.
by dbecker 9y ago
People make them (and even race) self-driving cars. Check out donkeycar.com
16.
by dbecker 9y ago
It's disappointing to see links to the abstracts on the front page of HN (given the paper itself is behind a paywall). In this case, the find some non-zero effect, but call it zero because the difference was not statistically significa
17.
by dbecker 9y ago
This article is talking about diversification to reduce risk, which is unrelated to "timing the market" and which can be consistent with passive investing.
18.
by dbecker 9y ago
Yes and maybe.
19.
by dbecker 9y ago
From tensorflow import keras Trivially simple example here: https://www.kaggle.com/dansbecker/transfer-learning-scratch-...
20.
by dbecker 9y ago
This list seemed to miss almost all modern deep learning tools... with the exception of theano, for which the version info here is years out of date. But this small detail at the bottom of the page explains it: This page was last modified
21.
by dbecker 9y ago
The host guarantee on AirBnb isn't as great as most people assume. We ate $1500 in damages on one of our first visitors, and we're off the platform now. The whole experience was a real bummer.
22.
by dbecker 9y ago
Economic research can be roughly divided into three subfields: Macroeconomics, Micro theory, and Empirical Micro. The first 2/3 of an undergrad curriculum at most universities is all macro and micro theory. So, most of what an undergr
23.
by dbecker 9y ago
The myth that you can build a billion-dollar business without some shady dealings needs to die Do you have an explanation for why Uber has been outed with so much more shadiness than most (if not all) other billion dollar tech companies?
24.
by dbecker 9y ago
Wow, borrowing a Holocaust quote. You just compared good customer service to the largest genocide in human history.
25.
by dbecker 9y ago
I have an MBP and an iMac, both of which came with nvidia GPU's. The MBP is older, but I doubt either of these are atypical machines out there today.
26.
The Uber Pattern Continues with a Sexist Comment at a Board Meeting(theatlantic.com)
1 points by dbecker 9y ago|0 comments
27.
by dbecker 9y ago
We tried to mirror the original analysis as closely as possible - we did 5-fold cross validation but used the standard MNIST test set for evaluation (about 2,000 validation samples for 0s and 1s). We split the test set into 2 pieces. The f
28.
by dbecker 9y ago
The model we are comparing against makes 10X as many errors. I hadn't imagined someone would argue that's not a meaningful difference. Though the difference is statistically significant too.
29.
by dbecker 9y ago
if you try really hard and get lucky enough, you can probably do as well as a simple regression in this case. Maybe you aren't familiar with deep learning: but this isn't "trying really hard." This is doing basic stuff
30.
by dbecker 9y ago
If you are Google, Amazon, or Facebook and have near infinite data it makes sense to deep learn. But if you have a more modest sample size you may not be buying any accuracy The author explores sample sizes up to 85, and then suggests thi

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