Brains, Sex, and Machine Learning: Geoffrey Hinton introduces "dropout"...
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View ArticleWould passing data through a Restricted Boltzmann Machine before giving it to...
I've been watching some lectures about Restricted Boltzmann Machines (RBMs) lately, and it occurred to me that one way you could look at them is as a filter that identifies and removes correlations in...
View ArticleML and the 10.000 hour rule
OK so I'm going to share here something that has been bothering me. I am a CS graduate and I just started my Masters in ML. What I want to do is become, a really, really good ML...
View Articlehelp with Multiclass classification using WEKA
So after a few months and some hard work and learning, I've progressed to multiclass classifiers. The problem my research professor has given me now is to classify the dataset used in Blitzer, et al...
View Articlerandom features for large scale machine learning
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View ArticleReinventing Society In The Wake Of Big Data: A Conversation with Alex...
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View ArticleLooking for ideas: processing and predicting arbitrary sequences of inputs...
Hello redditers! I would like to present a small project i was working during the last months. It aims to solve the problem in Machine Learning of processing sequences of inputs, instead of a fixed...
View ArticleLooking for an open source machine learning project
I'm a senior software engineer for a big European corporation. I've got master's degree in machine learning, specialised in classification and semi-supervised learning. I haven't put this knowledge to...
View ArticleWhat is a good kernel for sparse binary features?
I am using a large number of features (around 200K) which are mostly zero with the occasional 1 and am performing a binary SVM classification task with this data. I was wondering what kind of kernels...
View ArticleDocument clustering evaluation: Divergence from a random baseline
submitted by cmmdevries [link] [2 comments]
View ArticleToolbox for learning machine learning and data science
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View ArticleLooking for algorithms to 'sync' recordings of speech
Let's say I have recording of two persons (A & B) reading the same block of text. Of course their voices sound different, they read at different speeds, etc. But let's assume: they read exactly the...
View ArticleThe Wisdom of Crowds: Using Ensembles for Machine Learning
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View ArticleRe-expression method, new powerful approach for machine learning
submitted by arauhala [link] [25 comments]
View ArticleClustering high dimensional trajectories
I am not at all a machine learning expert and as I am setting out on a new project I thought I would ask for some pointers. I would like to cluster some high-dimensional trajectories. They are quite...
View ArticleMachine Learning of Links that I would click on
As a personal project I want to create an extension of sorts that would highlight links that I would be likely to click on (based on history of clicked on and not clicked on) I intend on using this as...
View ArticleAsk r/ML: Seeking advice on how ML techniques can be used to parse data from...
We have about 30,000 XML files that contain financial information. We're trying to parse 10 pieces of data from each of these files, but the problem is that the xml tags that contain the data are not...
View ArticleIn a Bayesian Network how do I "neutralize" a node?
If I have a node in the network that's no longer functioning or observable what probability do I have to assign to it to neutralize it completely. Say for example that I have the sprinkler, rain,...
View Article[Please Don't Bite] I would like to know where to learn the basics
Hi, I'm a programmer for some time now, working in web and video games. I have been fascinated by the things we can do with machine learning for a while and would like to know "how to get my feet in"....
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