Seeking approaches or packages for analyzing incomplete graphs of people &...
I have a dataset that contains name and organization pairs, and I'm trying to find a method that will either fill in edges and/or else cluster people based on common connections.The edges sometimes...
View ArticleIs there research that exploits the history of version control systems like git?
Version control commits capture a small change in programs which were made by a programmer with an intention. For example if the programmer implements a web shop he could add the feature 'user login'...
View ArticleSuggestions for effective algorithms with asymmetric cost function
Hi everyone. I am doing a machine learning project, in which, the low false positive rate is a higher priority than the overall accuracy.Right now I am looking for several baseline algorithms to...
View ArticleHow to Grow a Mind: Statistics, Structure and Abstraction with Paper
"How do humans come to know so much about the world from so little data? Even young children can infer the meanings of words, the hidden properties of objects, or the existence of causal relations from...
View ArticlePredictions of the future: Machine learning and AI applications
What are your predictions and ideas, folks? Seems we have quite the forward-thinking bright bunch here and I'd like to know where everyone is at with their interests and what is hidden in their...
View ArticleCan anyone recommend a simple-to-implement supervised learning algorithm that...
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View ArticleHunting Target Leaks - or Trolling Kaggle for Fun and Profit
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Hyperopt: A Python library for optimizing machine learning algorithms; SciPy...
submitted by rrenaud [link][2 comments]
View ArticleWhat's wrong with k-means clustering (compared to deep learning)?
I'm new to this field, so please excuse my poor terminology & understanding. For classification, why would some deep learning algorithm using autoencoders/RBMs, etc be advantageous over something...
View ArticleA Not-So-Daily Paper Review: An Analysis of Single-Layer Networks in...
Quick review before I go and grab some AYCE sushi with my babe. And I apologize I have not been reviewing as I once was, I was dealing with some things IRL. Note: even though I complain and have...
View ArticleSignal Processing on Graphs, lectures, code, examples?
I came across this Stanford paper from NIPS 2013 proceddings on Signal Processing on Graphs [0]. In the references, a tutorial paper was mentioned here [1]. Now I know that there is a course being...
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Free Newsletter: Data Science Weekly Newsletter (Issue 1)
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Machine Learning for Relevance and Serendipity on Vimeo
submitted by rrenaud [link][2 comments]
View ArticleNoob neural network question--variable number of features?
Hello,I'm taking Andrew Ng's Coursera course and feel like I'm understanding the material well. We've just finished classifying images of hand-written digits using a single hidden layer neural network....
View ArticleProbabilistic Systems Analysis and Applied Probability (MIT 6.041) [Playlist]
"Welcome to the MIT Course 6.041/6.431 [Full Playlist], a subject on the modeling and analysis of random phenomena and processes, including the basics of statistical inference. Nowadays, there is broad...
View ArticleWhy has deep learning suddenly become so popular? Any recent breakthroughs?
submitted by HerrKanin [link][11 comments]
View ArticleWhat is a reproducing kernel Hilbert space?
Could someone explain this and the underlying concepts simply, please? submitted by jamesmcm [link][2 comments]
View ArticleNoob question: Is there a standard/straightforward way of devising a score...
I'm a hobbyist with an interest in bioinformatics, and I've been trying to come up with a modification to a classical Dynamic Programming algorithm to predict RNA secondary structure. In the algorithm...
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A Cheat Sheet on When to Use Different Machine Learning Algorithms
submitted by KeponeFactory [link][2 comments]
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