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Category: Reddit MachineLearning

eGPU vs Cloud Computing Cost/Benefit [Discussion]

Hello all, I recently found a used eGPU enclosure for extremely cheap (about 50% off of retail).I am about to purchase it because of how good the deal is, but I want to know the benefits of using one for training purposes.

I’ve seen many people using them for training algorithms, but what is the cost/benefit vs just renting the computing power in the cloud?I will mostly be working on personal projects related to full stack development, but I will always be doing machine learning on the side and probably training an algorithm at least once a week.The thing about the enclosure, is that if I ever decide to upgrade in the future, I will always be able to just switch out the card, and regardless of laptop/gpu and power consumption (psu can be upgraded), it will always be useful as thudnerbolt 3 is still proprietary and isn’t going to go anywhere anytime soon.

For those of you training in the cloud, do you wish you had an egpu? Does the cost balance out over time?It’s so cheap… .that i’m talking getting an enclosure AND a card for about $230, which is ridiculous. How much cloud computing power will that buy you?

submitted by /u/nodalanalysis
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[D] Are there any unsolved problems / open questions in classic CS theory with meaningful implications for AI / ML

I was looking through the wikipedia articles on complexity classes and the ones on probabilistic classes got me thinking about about the thread title.

EDIT: To be more clear I was thinking problems in the realm of ‘is so and so problem in complexity class BPP’ or ‘if a set of parameters constitutes the global min/max for a given model and dataset’

submitted by /u/Ulysses-X
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[P] On the embedding of narratives, and how it pertains to computational neuroscience.

Hi!

I guess I’m kinda becoming a regular here ;P The feedback has honestly been astonishing so far guys! I absolutely love all the arguments/debates I have gotten from reddit.

I posted this a few weeks ago https://www.reddit.com/r/MachineLearning/comments/edrnin/project_topological_analysis_of_narratives/

The recent work on single neuron XOR made me want to create a post that gives a use case of studying biological neural coding so we can reapply it to deep learning.

I have a follow up on modern approaches to embedding narratives, where I evaluate a current WIP approach from a set of authors that for the time being have chosen to remain anonymous. (They will be named at a later date). I have posted it here: https://www.louiscastricato.com/post/on-the-embedding-of-narratives-and-how-it-pertains-to-computational-neuroscience

As before, rebuttals are more than welcome! The next follow up will be on reinforcement learning applied to comp narratology hopefully. Either that or I will discuss more about the scientific computing research behind topological data analysis. Perhaps give some tidbits about doing GPU accelerated TDA. (This is an ongoing project, I can’t share full details yet)

submitted by /u/FerretDude
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[D] How to Hide ML Code in a Demo?

I’m sending over an ML model for a client to demo and play around with.

This code imports our files/libraries that are intellectual property (IP).

We don’t want to share the model IP and pre-processing IP with the client.

How can we send them a working environment to play around with, without exposing our protected IP files?

(Specifically, we are using Jupyter Notebook.)

Thank You.

submitted by /u/showerthoughtsgenius
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[D]: Machine learning in healthcare applications

I am interested in doing a Masters in CS with focus on ML for healthcare applications, and I am currently looking for academic supervisors at different universities specializing in this field.

I am based in Toronto and two supervisors whose work appeals to me are, Marzyeh Ghassemi: http://www.marzyehghassemi.com/profile/ and Anna Goldenberg: http://goldenberglab.ca/index.html. Both of them are based in the University of Toronto.

I wanted to know academic supervisors working in the ML for Health space at universities in the United States.

Thanks in advance for your help.

submitted by /u/idekwhoiam7
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[D] The Google AI mammogram paper is flawed – Vinay Prasad

This twitter thread claims that the recent Google AI paper on mammogram screening is flawed, in that it uses a wrong metric to measure it’s effectiveness. Is traditional cancer screening flawed too? Think that is a question for bio folks to answer. How can the ML community ensure that multi-disciplinary, translational research projects ensure proper accountability on all fields concerned? Should Journals collaborate and release something like a joint edition?

submitted by /u/pm_me_tamil_nsfw
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[D] Tool to shuffle training datasets for more randomness via hardlink (Windows)

https://github.com/TomArrow/FolderHardlinkShuffler

Note: This tool itself does not do any copying or anything, it merely creates a .bat file which you can inspect afterwards.

Purpose Let’s say you have a video you’re using for training ESRGAN, but you want more randomness in the individual batches, so that it doesn’t train on the same scene for any extended period of time, but always has a good mix of all kinds of scenes. At the same time you don’t want to shuffle the original data and you also want to be able to apply the same shuffle to both the low resolution and high resolution data.

Here’s how:

Open this tool, select the folder with your image sequence. Then select a target folder. Set prefix and amount of zeros to fill and hit the Generate button.

It will take some time to calculate the shuffle (dunno why it takes so long, might improve someday). Then it asks you for a place to save a .bat file.

This .bat file has two variables on top that you can change as you wish, srcFolder and dstFolder. And then it has one line for each file in the source folder, creating hardlinks of those files in a new folder via mklink /h

If you execute this .bat file, you will end up with a second folder of numbered files that are hardlinks to the original files, but in completely new randomized order. These files are essentially real files to the filesystem, not merely links. So while the file exists only once on your hard drive, it exists twice in your folder structure – once in the original folder in the original order, and once in the new shuffled order. You can delete the entire shuffled folder without losing the original files too. Either way it will not take up any extra space because it’s not an actual copy.

And you can apply the same .bat file to your low resolution samples. Just change the srcFolder and dstFolder variables in the .bat script to reflect this and run it again. The filenames of course have to be identical to the large resolution folder.

Hope this will be useful to someone. Of course it can be used for anything, but I made it specifically for this purpose.

submitted by /u/PMmeYOURrareCONTENT
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[R] Big Data and AI for Real Estate CRMs?

Hi everyone,

I’m working on a project currently and I wanted to think of best implementations of AI and Big Data in the CRM industry. How would you implement aspects of Big Data and AI in a generic CRM or a CRM for real estate agents?

So far I have-

  1. Predictive analysis to accurately forecast the market prices
  2. Analyze the human settlements to understand the area using deep learning. Could help you map our water sources around and beware of natural calamities in advance thereby understanding the variables affecting the price points.

Thank you in advance!

submitted by /u/ananaziz15
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