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DeepDive: analyze your data in depth

submitted by petrux [link][comment]

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Machine learning with variable features

I'm relatively new to the machine learning field and I've been experimenting with sklearn under Python. What I'm wondering, is there any way to create an incrementally trained model that can handle...

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Research question in validation type study

Hey there Reddit,I'm working om my master thesis which as of yet is taking way too much time. My study centers around a model which uses a relatively unknown method to predict mortality of ICU...

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machine learning algorithm that does the same thing as the buckingham pi theorem

I'm not sure if this question is logically sound , but here goes ... I have 5 sets of data , and I am supposed to show some sort of trend between one the five and the 'force data'(6th set of data) ,...

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Multi-view Learning with Categorical and Continuous Variables?

I am working on building a robust binary classifier from a data set of around 40,000 samples and for each sample, there are two feature sets. One feature vector is a set of around 15 related continuous...

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Question about computing Bayes Error - with or without loss function?

I am new to Bayesian Decision Theory and don't understand the following concept:So from what I understood, the Bayes error is used to report the performance of a Bayes classifier in terms of the...

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Causal Entropic Forces [PDF]

submitted by galapag0 [link][1 comment]

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Hi /r/MachineLearning, what do you use?

What language/framework do you use? I have been using Python as my primary language so far, but was wondering if I ought to make a switch to something else.What do you use, and why? If it helps, I've...

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Free Sports Stats API's Anyone?

Does anyone know of any free/public API's out there that return sports standings/game stats for the NHL, or NFL (NBA, MLS, and college football/basketball accepted as well)? I'm totally comfortable...

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Brothers use data mining to predict the final Olympic medal counts at Sochi

submitted by rhiever [link][9 comments]

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BigML is Machine Learning for everyone

submitted by mhausenblas [link][comment]

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care to share the folder-structure you are using for organization of...

Basically I have a problem which is more related to the internal structure of different ML/stats projects rather than ML per se.I have quite a few different projects. which are always under...

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Parallels between machine learning / statistical learning theory and...

In reading through machine learning / statistical learning theory literature the emphasis seems to be on minimal development of the philosophical justification and maximal focus on the mathematical...

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what does r/machinelearning make of topological data analysis?

I ask as i dont see much commentary here... submitted by delverine [link][11 comments]

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Alternatives to XM2VTS dataset for Audio Video recognition

Hi guyz, I am trying to implement the paper http://www.ncbi.nlm.nih.gov/pubmed/23757540 to learn more about machine learning but it uses XM2VTS dataset for speaker-independent audio-visual speech...

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What is a good criterion in selecting Neural Network models?

I'm currently doing a project on selecting the best learning algorithm to predict automobile prices from data on classified advertisements.I tried out couple of algorithms from scikit-learn and got...

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Good entry points to reinforcement learning literature?

I realize that there is a reinforcement learning subreddit, but it looks pretty dead, so I figured I'd try here first. I haven't really touched reinforcement learning since an intro class in grad...

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Benchmarking EC2 for Deep Learning in Python

submitted by ZF2uPxnUfdHdxf2U [link][3 comments]

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Learning with data of different reliability

I have a binary classification problem where I have data of different degrees of reliability. I have one data set, on the order of 500 samples, which I believe to be perfectly reliable. I have another...

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The Computational Complexity of Machine Learning

submitted by kentrado [link][1 comment]

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