Netflix, Google, Spotify, Cloudera and many more speaking at MLconf NYC on...
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View ArticleTry my topic tracking website
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View ArticleWhy do Kernel functions had to be positive semi-definite?
In my machine learning class, my professor explained that a kernel function must be symmetric and psd. I understand that kernels represent the inner product of the feature vectors in some Hilbert...
View ArticleML research for undergraduates
Hello, I am an applied math student and I have the opportunity to do machine learning research this semester. The reason I am posting is that I don't know what sort of problems will be accessible for...
View ArticleAHaH Computing–From Metastable Switches to Attractors to Machine Learning
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View ArticleWin-Vector Blog » Unprincipled Component Analysis
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View ArticleMining of Massive Datasets [500+ page PDF from Stanford]
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View ArticleSpectral Clustering Intuition While looking around for a good tutorial on...
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View ArticleFull Bayesian formula in Naive Bayes for probability estimates?
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View ArticleNamed Entity Recognition using stanford nlp core on parallel computing...
Hi I need to implement the above, so far I have tried using Stanford NLP core and got it working on default settings. If i try to change the settings the server doesnt run, it error's out so I didnt...
View ArticleCurrent state of face classification?
Hello Community.I just wanted to ask what is the current state of real-world face classification systems? I am not into the field much, but after talking with a few people the opinions ranged from...
View ArticleFlappy Bird hack using Reinforcement Learning
submitted by RockDiesel [link][19 comments]
View ArticleCombining Bag of Words With Other Features?
Second post. I'm working on system that does some quick classification based on item content and characteristics, giving me a list of nearest neighbors and farthest neighbors using pearson squared...
View ArticleAnyone want to talk about their work?
Hi there. I'm a researcher out of the department of media and information studies at a research institution in the midwest. I'm working on an ethnographic project about machine learning with a...
View ArticleQuestion about learning vector representations via semi-supervised learning...
In Socher & Manning's Deep Learning for NLP tutorial they give a description of a simple feed-forward network with one hidden layer (slide 49), which is able to learn features that are (to some...
View ArticleAdvice on predicting events
Hey guys. Machine learning n00b here. Let's say I have a bunch of time series (say from Jan 1 1990 to Dec 31 2013) and a bunch of events that occurred at various dates during that time frame. How do I...
View ArticleRegularization of nnets - Dropout vs. all else
I know that for image recognition and other visual learning tasks dropout (with max col norm) is a very effective form of regularization and has the extra benefit of being simple to implement and...
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