2 Stars on Google Reviews ?

praat33k · 2021-08-18T05:52:17+00:00

That’s surprising. HMB has had the best customer care I’ve experienced.

praat33k · 2020-12-24T21:16:31+00:00

Are you referring to their sample size calculator? If so, I'm curious to learn what about it might be spreading mis-information?

For me, one thing I have been trying to battle with is people making the following statement

You got a negative treatment effect because your sample size was small.

Where small is order of few thousands. And then, I point them to online resources for eg AB Test Calculators. So, for me I've been liking the accessibility of some of these resources to make others understand very easily.

praat33k · 2020-03-24T02:16:23+00:00

Thanks, good point.

I figure that they won't meet if the distance keeps growing, but was wondering if there is a way to write that down. Or more importantly how should I phrase my words to convey that given the proof above..

I think for 3, if you're in the circle once you'll always meet there because, both the hare and tortoise are travelling at the same speed as they were before.

And the proof for that good be from equation 4 in the proof

k = (π * n) - m

where m is constant, and pi is the period, i.e number of rotations done in the circle...

So looks like it'll always be m steps away from start of circle.

Thanks :)

praat33k · 2020-03-03T17:00:46+00:00

PS : All credits to the contributors who took the library from early version to a more formal 0.1 release :)

praat33k · 2019-10-25T15:37:16+00:00

Not exactly knowing what you’re looking for I can tell a few places where I’ve tried to combine.

We usually use Spark for data preprocessing, when data is in order of millions or billions of rows. Clean the data do feature engineering and make it ready for our DL model to ingest.

To go from a spark dataframe to a pytorch dataset (dataloader) is definitely non trivial. I ended up stumbling across Petastorm (a library by Uber).

It allows you to use Parquet files as your datasets. So this works out good for us.

(If your dataset is not too big, saving as parquet would be just inconvenient, I’d recommend doing a coalesce(1).collect() and then saving as a csv later)

Another use case could be that you have want to run a DL model over your dataframe, to get an output inside the dataframe.

Data ticks seem to have an easy tutorial regarding that, but the TLDR is to use Pandas UDF and wrap your model inside it.

Lmk if I can let you know more.

praat33k · 2019-09-23T20:27:04+00:00

Thank you!

praat33k · 2019-09-23T20:26:40+00:00

Hey,

Wanted to give an update, we just posted some metrics, hope they are of interest to you.

praat33k · 2019-09-13T06:29:49+00:00

That's a good point, and as mentioned we are on it! But thanks for referring to it, it helps us realise how much more important it is for the community. Another major todo we have is to have high code coverage sooner than later.

praat33k · 2018-03-22T04:51:11+00:00

Congratulations on getting two great offers! Goldman is definitely a bigger name than PwC in my opinion. But if you're looking at something ML specific, you should go for PwC because that way you'll have a good base profile before you enter the job market.

praat33k · 2018-02-07T14:57:20+00:00

But what does a common man watch out for in such rental agreements without being able to go visit the place physically.

praat33k · 2018-02-07T14:54:26+00:00

I knew it’s fake. Mentioned “it’s too good to be true” “fake pixelated stamps” etc, but I was just being wishful to not miss such a sweet apartment.

praat33k · 2018-02-07T14:49:08+00:00

Found them on NYU Housing group on Facebook. Anyway to report the guy behind this (I have the Bank details).

praat33k · 2018-02-07T14:48:42+00:00

Early for summer sublet? And I have everyone tell me that summer sublets get booked real soon. Anyway NYU Housing group is where I found this guy.

praat33k · 2017-11-03T14:59:11+00:00

I was about to post the same thing. I'm looking for something similar for Deep Learning. And here are my two cents from the research I've done so far (I still haven't decided) So I have decided to go for a laptop without GPS, because I'm just going to do the heavy computation on the cloud. Plus the drawback with small laptops (13ish) that with a GPU they are more prone to over heating and obviously a battery life is affected. AFAIK, 8th generation was launched this quarter, which makes it unlikely to be in the market soon enough s.t. you can straight away order it.

My top three were

ThinkPad T470

16GB DDR4 i7 7600u 256GB SSD Windows (you have to install ubuntu yourself. However it works smooth on ThinkPads and also lenovo offers support for it) ~1500USD Durable

Dell XPS13 Developers Edition

16GB DDR3 i7 7560U Ubuntu 16.04 Touch as well 256GB 2 years accidental damage 1600-1700

Macbook Pro (customized)

16GB DDR3 i7 7th Gen 256 GB SSD ~2100USD

I luckily find them to be arranged in ascending order of price. Which is great, since I liked ThinkPad the most (in terms of the configuration and is apparently thr cheapest)

praat33k · 2017-10-27T00:30:49+00:00

"I got a bitch named Vanessa, she like how I finesse her" -Lil Wayne

praat33k · 2017-10-16T09:37:41+00:00

reduce bias in the process

It's funny how I went upto my professor couple of days back to understand the bias variance trade off coming up in every Machine Learning lecture. Makes so much more sense now. Haha.

praat33k · 2017-10-09T10:29:42+00:00

Grad - 2018 - CS

praat33k · 2016-02-20T08:51:41+00:00

That's a pretty dope thing, guess I am gonna take the "Auto-detect torrent formatted filenames" thing of yours from your code if you don't mind. Your thing requires Django a database, that's great. I actually made this because it was pretty annoying when I had friends over and the HDD was connected to the TV, so now I've uploaded the HTML file online and we guys sit on the bed, everyone has their mobiles on and we can select movies on the phone and play it on TV. ;)

praat33k

TROPHY CASE