Explain LDA like I'm stupid!
Well lets say I have to generate topics over a bunch of documents. First I assume [correct me if I'm wrong] that all the documents have same number of words N in them. Then the part after this is what...
View Articlenewbie WEKA questions
Hi everyone, sorry if this isn't the right forum for this, but I have some really newbie WEKA questions. So i'm trying to process some raw data into the ARFF format so I can experiment on it. I figured...
View ArticleCoursera Machine Learning: Lecture Notes - missing no.5
I completed the ML Class when it was first offered, and downloaded all the course materials. Except, as I just found out, I missed out on the slides called Lecture5.pdf. I can't seem to get to the...
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A geek with a hat » ml-class.org vs. real world ML class
submitted by Sandracto [link] [comment]
View Article[ask ml] Machine Learning methos for GIS ?
Does anyone know any method of ML for GIS ? Something that could be used for gps data for instance. Great thanks ! submitted by perone [link] [13 comments]
View ArticleAttempt at Naive bayes (bag of words model), using WEKA
Thanks to some very helpful redditors yesterday, I was able to convert some emails into text, then into an arff file. The two directories used as classes were orginally "spam" and "notspam" each of...
View ArticleAsk Machine Learning: Which model for a simple "Customers Who Bought This...
I am looking to implement a small recommendation engine for a VoD movie database. I am looking at the following type of recommendation: When the customer is already looking at a certain movie, I would...
View ArticleRemoving seasonality from time series data
is there a general way of removing seasonality from time series data? Many of the methods I have read about seem fairly ad-hoc, I was wondering if there is a 'best practice' recommended way of doing...
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New Implementations of Mallat's Scattering transform (rotation and...
submitted by igorcarron [link] [3 comments]
View ArticleMethod for summarizing short descriptions
Hi ML, Are there any methods or products that do a decent job of taking a list of short descriptions, and summarizing them? The descriptions are of proteins, and some examples are: Chromosome...
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What is Faster than Moore's Law and Why You Should Care
submitted by igorcarron [link] [4 comments]
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TIL howto Moneyball :-) build a Classifier to predict labels . [Practical...
submitted by ursvp [link] [3 comments]
View ArticleMy Kaggle rank is leveling out. Advice?
Hi ML, I've been competing in several Kaggle competitions. I can get in the top 10-20%, but after that my rank stagnates. My template workflow is to process the data(derive every variable I can come up...
View ArticleA Practical Guide to Support Vector Classification
submitted by kunwoo32 [link] [1 comment]
View Articlequestion: I am trying to create an evolutionary algorithm utilizing...
Hi Folks, I am a compsci student, and I am planning to do my thesis based on evolutionary algorithms; specifically with epigenetics. I think that phenotype-genotype relationship in Evolutionary...
View ArticleKmeans -- ensuring homogeneous cluster size?
I'm working on an implementation of kmeans++ and for the clusters I get that have about 30 datapoints assigned to them, it seems to work pretty well. But I consistently seem to get one or two clusters...
View ArticleWEKA: Basic Correlation
Let's say I have a simple .csv with three columns 1. Name of sports team player (John Smith, Mark Green, etc.) 2. a Score (10, 20000, 567, etc.) 3. city where score was obtained ( London, Los Angeles,...
View ArticleI'm thinking about applying machine learning to a fantasy football draft tool.
I see it being useful in a couple of places. First, I'd like to predict the likelihood of each player being available for the next pick and secondly I'd like to target the right players at the right...
View ArticleI have a question about small data sets...
What is the major problem with a small data set? From my beginner knowledge of ML, I am thinking that a ML system trained on a small data set does not necessarily generalise well to all situations?...
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