Building Interpretable Classifiers with Rules using Bayesian Analysis
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View ArticleNewbie Question about gradients
Hi,This is a very basic problem, which I am not sure I am thinking in the right way. Suppose I define a autoencoder with a function f which calculates reconstruction error of one example. However, the...
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[Journal Club] week 42/2014 paper-voting thread
Please post suggestions for next week's paper in this thread, and use your upvotes to vote for the papers you like. It is of course allowed to post papers that have been proposed in previous weeks. The...
View Article[Journal Club] discussion (Links to new vote/results of last vote inside)
Discussed PaperYou hopefully all had time to go through Bayesian Optimization in High Dimensions via Random Embeddings this week. Feel free to discuss your opinions, questions and other comments in...
View Articleany study groups to exchange ideas and improve together
I quitted my job after working 2 years. Now Im attending grad school in a poor area . There are not may people that I can exchange ideas on artificial ingelligence or machine learning. Is there any...
View ArticleNeural network algorithms?
For a university project, I need to find and to explain an algorithm (not the code but the way it works) that is based on neural networks, but I found it pretty damn hard to find anything via searching...
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Introduction to k-nearest neighbors : Simplified (cross post from...
submitted by kunalj101 [link][comment]
View ArticleWhat is the best way to store data used for Natural Language Processing?
I want to start learning and implementing some Natural Language processing algorithms for sentiment analysis and document classification. What is the best way to store data like corpus, bag of words,...
View ArticleAny advice on how to improve my accuracy rate in text classification?
I'm trying to do a text classification task.Here are some specs:Context file size = 1M+ documents already labeledNumber of top-labels = 17Number of sub-labels = around 130Each document is constituted...
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Followup from last week: How I ditched my MacBook Pro for Deep Learning and...
submitted by zionsrogue [link][4 comments]
View ArticleTarget/Aspect Based Sentiment Analysis using Deep Learning
Recently, deep learning has been very effectively used to represent words/sentences/paragraphs as vectors and these have been used as features for sentiment classification. These approaches have been...
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Maths vs. Stats?
Hi All, Was hoping I might get some advice from people who know better than me :)I'm looking to get into the field of machine learning and data analytics. Have an honours in comp sci, and have done a...
View ArticleGood Neural Network Development Tool/Programming Language for Machine Learning?
Hi! What would be a good tool (ANN Application/Programming Language) to use to teach a robot how to stand/walk? sorry if the question is a little broad but I am looking for a good way for the robot to...
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Build a Predictive Lead Scoring App with BigML, SalesForce, and Talend Open...
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View ArticleWhat is the best Data Mining algorithm for predicting based on a single...
I have one variable whose value I would like to predict, and I would like to use only one variable as predictor (for instance: predict traffic density based on weather). Initially I thought about using...
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