MLconf is next week - Check out the presenters here
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View ArticleHow to handle highly imbalanced label uncertainty (if that's the right thing...
I'm currently working with a dataset of about 1,500 samples in which the labels/response variables take the form of a number of attempts made for that sample and the subsequent number of successes it...
View ArticleTop universities to pursue a PhD in any of the following ML research areas?
I will be finishing my bachelor's degree soon and I am willing to pursue a PhD in any of the following ML Research areas. 1) Deep Learning 2) Tensor factorization for ML 3) Machine learning for...
View Article'...they claim can predict the effectiveness of new medicines 150 times...
submitted by SmoothCB [link][8 comments]
View ArticleWhat's with the trend towards deeper neural nets?
I remember from my Russell / Norvig AI textbook that any neural net that can be expressed in N hidden layers can also be expressed in a single hidden layer.Yet, the trend seems to be towards more...
View ArticleMachine Learning and Software Analysis
Hello /MachineLearning!I'm a masters student in computer science with a strong focus on software engineering. However, I'm getting more and more interested in machine learning and was wondering if...
View ArticleWhat are the pro's and con's of AdaBoost? How useful is it?
submitted by Master_Rux [link][2 comments]
View ArticleQuestion: How to build image recommender system for nearest similar images in...
Hi, sorry if this is a novice question, I'm a junior who is new to machine learning but is super interested. For a school project I am trying to recommend clothing images, I get how to tell if a image...
View ArticleWhat are some breakthroughs in recent years which machine learning has enabled?
I recently came across ML, and I have been seeing so much hype about it. Can you please list why it is such a big deal. What are the breakthroughs it has caused? submitted by hellojarvis [link][1 comment]
View ArticleDark Knowledge - TTIC Distinguished Lecture Series - Geoffrey Hinton
submitted by __Joker [link][2 comments]
View ArticleAMA Geoffrey Hinton
I design learning algorithms for neural networks. My aim is to discover a learning procedure that is efficient at finding complex structure in large, high-dimensional datasets and to show that this is...
View ArticleSplitting 8GB dataset into train/test split in Python
I'm working on the Kaggle Avazu CTR Prediction competition. The training dataset is much larger than what I'm used to dealing with, i.e. bigger than my machine limits. I'm looking for some pointers on...
View ArticleData Elixir - News and resources for developers who work with data | Issue 9:...
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View Article[Journal Club] The journal club has tentatively moved to /r/mlpapers , new...
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View ArticleAdded 152 new Deep Learning papers to the Deeplearning.University Bibliography
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View ArticleMy Attempt at Outperforming Deepmind's Atari Results - UPDATE 11
submitted by CireNeikual [link][2 comments]
View ArticleSimple speech recognition using dynamic time warping
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