Implementation of Developmental Learning MOOC - Starting October 2014.
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View ArticleAs a CS master's student with solid ML & data science foundation, what is the...
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View ArticleSkype Group
Anyone interested in an 'active' Machine Learning Skype group? PM me! submitted by no_porner [link][comment]
View Articlehow cross validation help to gain a better model?
if I understand it right, this is the process of cross validation. take 5-fold cv for example,1) split dataset into 5 parts.2) train a model using training data composed of 4 parts and test on the one...
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View ArticleResources for learning about ensemble learning?
I'd like to learn more about ensemble methods. What resources do you recommend? I'd prefer something with some hands-on examples in R or Python. submitted by rovingr [link][9 comments]
View ArticlePretraining deep nets out of fasion?
I feel that recently, pretraining deep neural networks is not a common practice anymore. Is this a wrong observation?Is it because dropout provides the needed regularization and rectified linear units...
View ArticleThe first completely reddit-based MOOC (x-posted in /r/robotics)
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View Articlecategorizing labels using k-means clustering for a SVM model
Hi,I have data from two types (classes) of networks: net1, net2. Each network has 100 data instances. Each instance has twenty features and one output label.My aims are two-fold: build a classification...
View ArticleBasic introduction to Theano - making an Autoencoder
I recently decided to teach myself about theano. I thought that it might be useful for people trying to do the same to read about my experience with it:...
View Article.NET Rocks podcast on Machine Learning with Seth Juarez
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View ArticleMotivating applications for weakly supervised learning
Hi all,Currently I am in process of writing my PhD proposal. I plan to work on weakly supervised methods for a big data. So far I extensively studied semantic image segmentation problem. Typically, for...
View ArticleNeed an introduction to RBMs
Many times I've heard about Restricted Boltzmann Machines. Cannot you advice me something to read about them?I'm also interested: how are they commonly used and what are their best-known...
View ArticleFeature Learning for Binary Data
I'm trying to do feature learning / dimensionality reduction on a large, sparse binary dataset. I tried RBMs and then Autoencoders but was dissapointed to find their behaviors roughly equivalent. I...
View ArticleThe future of content consumption, through the eyes of Yahoo Labs —...
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View ArticleNeuroscientist-designer couple bring the power of vision to devices
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