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FreeCodeCamp/DataScience

discussion on how we can use statistical methods to measure and improve the efficacy of http://freeCodeCamp.com

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Sahil Bhosale

@sahilbhosale63

Check it out!

phao5814

@phao5814

hey guys - would appreciate it if someone with experience in CNNs could help clarify this for me :) https://stackoverflow.com/questions/57038055/what-are-activations-activation-gradients-weights-and-weight-gradients

Juliana Marie

@julianamariemorales

Hi guys, what is your suggested minimum data to be in a cluster?

Philip Durbin

@pdurbin

I went to a "Intro to Data Science: Predict the Box Office" workshop last night and the slides and Jupter Notebook they used are linked from https://www.thinkful.com/workshops/city/box-office/ . Pretty interesting stuff. Pandas, scikit-learn, etc.

Alice Jiang

@becausealice2

@julianamariemorales I feel like that would be subjective, I don't think anyone can give you a solid answer...

@pdurbin Oooohhhhh.... I've had my eye on their meetups for quite some time but haven't actually gone yet. Would you recommend?

Philip Durbin

@pdurbin

The speaker had a somewhat heavy accent but seemed to really know what he was talking about. Sure, I'd recommend it.

Alice Jiang

@becausealice2

fabulous

Philip Durbin

@pdurbin

It was on the 6th floor. Decent view.

Alice Jiang

@becausealice2

I imagine so. I love back bay. Anytime I go exploring I almost always end up wandering around there

Philip Durbin

@pdurbin

Yeah, my wife and I lived in the Fenway for four years and we'd wander over there a lot.

Alice Jiang

@becausealice2

I'm looking through that notebook now and.... what movie was eight and a half hours?!

Alice Jiang

@becausealice2

This one is listed in the dataset as being more than eight and a half hours long lol

oh wait it's a TV series.. Why is it in a boxoffice dataset?

Philip Durbin

@pdurbin

dunno

Seems like a fun dataset though. I like movies. :)

Alice Jiang

@becausealice2

It needs to be looked at and cleaned a bit lol I've really only looked at durations and I've found a few that are very wrong

Philip Durbin

@pdurbin

He had many, many slides on data cleansing.

Alice Jiang

@becausealice2

I haven't looked through the slides yet

but there's a bunch of TV series and the wolf of wallstreet is listed at 4 hours long lol

it's just a list of 5k random titles I think, there's tons of titles an hour and under and I recognize most of them as TV series

Alice Jiang

@becausealice2

it appears that the data cleaning process eliminates most, if not all non-movies so don't mind me complaining :joy:

Philip Durbin

@pdurbin

heh

Eric Leung

@erictleung

Lol https://twitter.com/ZachDrakeTweets/status/1151549076992876551

@julianamariemorales hi there! What do you mean by "cluster"? Like a computer cluster or an unsupervised learning cluster?

Eric Leung

@erictleung

@phao5814 I took a try at explaining an answer to your question https://stackoverflow.com/a/57085350/6873133

@phao5814 I tried answering your other question about training neural networks as well https://stackoverflow.com/questions/56921254/why-is-my-cnn-model-being-trained-in-less-time-on-my-local-cpu-than-hosted-optio#comment100693700_56921254

vsvd

@vsvd

Hi, Are there any tools(Open source) for generating test data for page view for ML algorithm. For now I am trying to write a selenium test to view different products randomly in a website. So that way, i can generate VIEW ACTION logs for the Machine Learning Algorithm. I am expecting by doing this way, it will take lot lot of time to generate bulk data/log (More than one million logs in DB). Is there any Data Generation tool/open source tool for above scenario.

Alice Jiang

@becausealice2

I just read a Kotaku article on gaming sustainability that included some information on data center efficiency. You guys ever considered how eco-friendly your cloud computing is(n't) before?

@vsvd you're looking for an open source tool to generate bogey data based on existing data?

Vishesh Mangla

@XtremeGood

anyone here?

I need help with this doc https://www.tensorflow.org/beta/tutorials/generative/dcgan

phao5814

@phao5814

hey everyone, would appreciate if anyone with experience at writing custom loss functions in keras can help me out here! https://stackoverflow.com/questions/57248667/valueerror-an-operation-has-none-for-gradient-while-implementing-custom-loss

Mazzy7

@Mazzy7

Hello!! I want to use a regression model with flutter but I am getting an error when I am running the

Tflite.runModelOnImage

Shall I provide label.txt file

Alice Jiang

@becausealice2

@Mazzy7 Flutter for building native apps?

IssaMousssa

@IssaMousssa

I want to do linear regression but I have a nominal variable. Do I have to use OneHotEncoder or is StringIndexer sufficient? I use pyspark

Alice Jiang

@becausealice2

I don't know anything about stringindexer off the top of my head, I think one hot encoding could work @IssaMousssa

quick glance at google search results make it seem like StringIndexer could also be a solution

Vishesh Mangla

@XtremeGood

hi someone here?

and knowing tensorflow 2.0?

Alice Jiang

@becausealice2

here, yes. TF2.0, not so much I'm afraid :(

Vishesh Mangla

@XtremeGood

hi can I get some help about posting on stackoverflow

Again and again I ' m getting error on formatting.

Alice Jiang

@becausealice2

what error?

Janus Reith

@janus-reith

Hi, I'm pretty new to ML and trying to find out if my use case is already implemented and available to use.
Specifically I'd search something js based to use with node, like brain.js or tensorflow-js.

Im looking for a specific usecase to implement: I have a text and want to extract multiple specifications from that.
Probably it will use LSTM, but I would need multiple outputs for my input

It would be awesome if it could work in such a way:
Input: "Intel Core i7-7500U 2,70 GHz, 16 GB DDR4"
Output: { cpuManufactor: "Intel", cpuClockRate: "2,70", "memorySize": 16, "memoryType": "DDR4" }

The input wouln't always have the same length or contain the same information.

If it wouldn't work this way I could settle for a less dynamic pattern like:
Output: { cpuManufactorIntel: 1, cpuClockRateIs270: 1, memorySizeIs16: 1 memoryTypeIsDDR4: 1 }

However, getting near the first example would be awesome.

As the concept behind this text classification is pretty general and not related to my specific data I believe something similar to this must be implemented somewhere already.
However I didn't really find anything yet.

Thanks in advance for your help!

Alice Jiang

@becausealice2

I've never seen anything like that specific example, @janus-reith but it sounds like you're looking for some type of feature extraction?

Janus Reith

@janus-reith

@becausealice2 Yeah, I had to to look it up, but this seems to be what I am looking for