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I'm really curious how each of you would approach solving this problem

submitted by bluepublius [link][19 comments]

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Extracting lines and features from rough image. Looking for hints and tips!

submitted by stokeml [link][comment]

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Can clustering be used for time series forecasting?

I'm new to ML, so if anyone has any sources or links for this I'd really appreciate it! I'm trying to find out if you can use clustering to enhance a regular forecasting method such as regression?...

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Data Analytics & Visualization Blog - Toying with Topological Data Analysis...

submitted by rustyoldrake [link][1 comment]

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Suggestions for an undergraduate thesis combining econometrics and machine...

submitted by zanzilove [link][1 comment]

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"Deep learning: Methods and Applications", Deng and Yu [PDF book draft]

submitted by gtani [link][3 comments]

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Learning to detect salient object in an image based on boolean user input

I am a developer on the Wildlife@Home volunteer computing project and am in the process of researching different supervised machine learning algorithms.Data for the project is collected by volunteers...

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How to classify 'everything else'?

Hypothetical scenario. I have 10 types of dogs and then a whole host of 'noisy samples' which can be literally anything: cats, humans, tables, phones, buildings, etc etc.I couldn't find any resources...

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ToC, bibliog. and (4)draft chapters, Y. Bengio Deep Learning book

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Robust PCA and GoDec for background/foreground separation in video (self-post)

submitted by kkastner [link][1 comment]

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(200 BOUNTY) (UPDATED) Can any existing Machine Learning structures perfectly...

submitted by abseeley [link][1 comment]

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I have experience with ML but am moving to an unfamiliar territory: sign...

From what I deduct, sign language (what the deaf use) recognition would likely be a hybrid of gesture and speech recognition. Specifically, I'm thinking about an app in which a deaf person (which I am)...

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Now this might be a very dumb question, but what exactly is the difference...

I've often heard these two being used interchangeably. Are they one and the same? or one is a subset of another? What exactly is the difference? I've just taken Machine Learning course online and can't...

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Can a Neural Network Find the i-th Permutation of a fixed size list?

submitted by abseeley [link][3 comments]

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Two Main Types of the Engraving Machine

submitted by laserengraveing [link][comment]

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What is it called when you use a video to train an image based neural network?

submitted by rememberlenny [link][9 comments]

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2 FREE tickets to MLconf NYC in exchange for video recording / streaming help...

We're shocked that MLconf NYC is almost sold out. We have only 12 tickets left and are still a month away from the event. We have lined up amazing speakers and would love to stream the event for free...

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How Google uses ML to serve ads: ad click prediction: A view from the trenches

submitted by rrenaud [link][3 comments]

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What would be a essentials only reading list for the newer supervised deep...

I've heard there is a recent surge in purely supervised techniques in deep learning, in contrast to earlier pretraining based models.Which would be the essential techniques and architectures that...

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Machine learning and comparing times

I'm familiar with vectorizing textual data and normalizing numerical data for allowing machine-learning algorithms to find similarities.I'm a bit stuck on comparing data such as time of day. If I...

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