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Google acquires Katango for its Automatic Friend Finder based on ML...

submitted by vardhan [link] [1 comment]

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How do you decide the bins initially in Real AdaBoost?

I understood AdaBoost pretty well. I am trying to implement Real AdaBoost for a class project. I am not getting the idea. Here's the paper I referred to-...

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Apache Mahout: Scalable machine learning for everyone

submitted by sunng [link] [7 comments]

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How can I acquire the text of reddit headlines from R?

I'm not very experience with R and I would like to do soem text analysis of reddit headlines. Is there any way this can be done? submitted by gabjuasfijwee [link] [5 comments]

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Mentorship?

I am a noob machine learner, just starting on my career in an NLP job in a few months. And I also plan to go to grad school in the next few years I feel clueless a lot of the times, being mainly...

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All code from "Machine Learning for Email" now on Github

submitted by agconway [link] [2 comments]

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Large scale ML

Hi all. I work for a company who is looking to do large scale data mining. I was wondering if there were any solutions currently available to do large scale distributed data mining. Thanks! submitted...

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How to compare models with different dimensions

I have some data (~200 dim) and not that many examples (~300). I am trying to get the best generative model of the data. I am using GMMs to create the model however I am adding a PCA reduction prior to...

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How well does gradient descent work on extremely noisy data?

I'm interested in using gradient descent to predict the probability that a website visitor will click on an ad, given a number of things we know about them (geographic location, browser, operating...

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This Guy Broke Jeopardy’s All-Time Record… Using ML Techniques To Train Himself

submitted by cavedave [link] [19 comments]

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More courses from Stanford

Link to Probabilistic Graphical Models - starting Jan. More courses at the bottom of the page (ML, NLP, Game Theory, et al). submitted by amair [link] [17 comments]

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Using fmin from scipy optimize

is using the fmin functions from scipy optimize a good way to train neural nets. And in neural nets, why are multipliers used in each weight of the perceptron - has anyone tried powers or more...

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Can Big Data Fix Healthcare?

submitted by ohsnaaap [link] [3 comments]

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ML for making code recommendations (people that called X also called Y)

Interesting research project at http://eclipse.org/recommenders that leverages static analysis and ML to create nice tools around it in the Eclipse IDE. submitted by microbiotic [link] [comment]

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Data Scientist vs Statistician?

Hi I thought this would be the most appropriate sub reddit for this kind of thing. My question is what exactly is the difference between the two? I tried googling the answers but most people are...

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Am I planning it right for a PhD in ML?

I am a Master's student in EE from a pretty decent school, specializing in Image Processing and Machine Learning. I want to do a PhD in the long run, but I want to be fully prepared, armed with a solid...

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Ask r/ML: What to do when you the size of the feature set is much larger than...

Hi, As mentioned above what should I do? If there are resources that I can read about this that'd be great too. Thanks EDIT: Was going to use NN and SVM... submitted by tshauck [link] [14 comments]

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I am interested in applying statistics/machine learning to the field of finance

I have a very strong background in finance, but much weaker background in statistics and computer science. I am interesting in learning this topic to apply to my work in financial research. To be more...

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Any tips about becoming an AI engineer?

I'm extremely interested in studying AI for graduate school. Any tips on where I should go,and what I can expect as a career? I am currently working on my Software Engineering degree at Oregon...

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Functional and Parallel time series cross-validation

submitted by pandemik [link] [1 comment]

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