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Recursive Deep Models for Semantic Compositionality Over a Sentiment...

submitted by Blip63 [link][comment]

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Using machine learning to predict playoff series in the NHL

submitted by ScullerLite [link][comment]

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Machine learning problems where Random Forest Regression works best.

In your opinion, which type of predictive problems and situations are there where Random Forest Regression is the best strategy to use for optimal results? submitted by mrlovell [link][13 comments]

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Pattern recognition and similarity scoring for time series data

I have a project where I am collecting motion data from IMU sensors (accelerometers, etc). I collect short spans of ~250 or so data points from the sensor, forming a time series. Given 10 or so time...

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If Machine Learning did not exist, what set of subjects/concepts would fully...

Imagine an episode of the Twilight Zone where you wake up tomorrow and there is no such thing as Machine Learning. There are no ML departments, classes, books, experts, etc. Many of the fundamental...

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Modeling non-IID data

I'm working on a problem where the data we're getting is not very IID, and was wondering what can be done to account for this? Long story short, I can't be overly specific, but I'd like some...

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Guys, I have apparently been using R for awhile to do structured database...

feel kinda dumb... the operations that I had to painstakingly write out in R can be done in like 2 likes of code in the SQL environment. submitted by Jonny5ive [link][3 comments]

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Best data pipe-line/workflow management tool?

Everyone doing professional ML needs to deal with setting up ETL"work-flows" or processing "pipelines" where at some time.Example of workflow tool features:Schedule processing jobs to run at a specific...

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How an error by Apple's 'Siri' voice assistant illustrates what may be the...

submitted by NOT_BRIAN_POSEHN [link][12 comments]

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Best way to report success of predictive model

Hi,I'm texing up my resume, and was hoping to report on some work I did this summer at an internship.For my summer work, (I worked at a mobile marketing firm) I developed a predictive model to quantify...

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Anyone took ML class, and good at Neural Nets and/or supervised learning? PM...

Hi r/machinelearning, Long story short, I need someone to assist me in doing some unsupervised learning on some data ASAP. You have to have MATLAB and/or Octave, I cannot provide that. However I can...

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10 Tips for Sentiment Analysis projects

submitted by datumbox [link][2 comments]

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Erin Shellman, Data Scientist at Nordstrom Innovation Lab Interview

submitted by seabass [link][comment]

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A day in the life of a Data Scientist.

submitted by goumie [link][1 comment]

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College courses to learn more aspects of machine learning

I recently entered a PhD program in computer engineering where I have the opportunity to take any courses I want across discipline (and I don't have to pay). While my main focus is signal processing, I...

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High School Science Projects

I am a sophmore in high-school right now, and I want to do a machine learning science project. I want to have people rate their perceived "Smartness" using parameters like GPA and number of books read...

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Having awesome technology is dangerous if you don't know how to use it...

submitted by Scallyb [link][comment]

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This puts photoshop to shame : 3-Sweep: Extracting Editable Objects from a...

submitted by theorymaster [link][11 comments]

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Predicting cricket scores using linear regression [x-post from /r/cricket]

Hello r/ml! I've formatted cricket data to predict target scores in matches where play is curtailed. I've tried to go through the basics of the game so that the analysis is easier to follow. (Sorry if...

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can someone recommend a good book for big data?

I am experienced with development, machine learning, and basic stats. So, the "big" part. (Most of the books I see involve new scripting languages, and I would really prefer to simply work in Java and...

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