Stanford Unsupervised Feature Learning and Deep Learning Tutorial
submitted by zettaphone [link] [5 comments]
View ArticleLearning Structure of Bayes Networks with K2
So, I recently implemented Bayes Networks for discrete variables, and implemented the K2 algorithm for learning the structure of a network ( http://web.cs.wpi.edu/~cs539/s05/Projects/k2_algorithm.pdf )...
View ArticleMarvin Uses the Moneyball Method for Mobile Security
submitted by marvinmobilesec [link] [comment]
View ArticleQuestion about Cross Validataion.
Hi, I'm trying to fit a logistic regression model regularized by the L1 norm. I am using the glmnet package in R. I have a dataset of a 100k records with roughly 60 regressors (binary response). Here...
View ArticleReview: Machine Learning: An Algorithmic Perspective by Stephen Marsland
submitted by robintw [link] [2 comments]
View Articleany one can explain what's the difference between NS(nearest subspace) method...
In NS, we cluster new vector to the group with nearest weighted distance which i think is the same as in K-means. Anyone can explain a little or recommend some reading materials. Thank you! submitted...
View ArticleDoes anyone have any experience with Segaran's "Programming Collective...
All of my coursework is with Bishop's pattern matching book and other more theoretical texts. Although they're well written i'm finding it easy to get lost in all of the proofs and struggling to learn...
View ArticleThe people who believe we are living in a simulation...
I didnt know where to post this but I am looking for links or videos or names related to the following quote...if you can help....or tell me which subreddit to post in: "Because of the rate computing...
View ArticleThe Spelling Corrector that Got Me Interested in Machine Learning
submitted by tdh3m [link] [1 comment]
View ArticleWhat is Mahalanobis Distance? An accessible and intuitive introduction.
submitted by lpiloto [link] [1 comment]
View ArticleDoes anyone know of any data sets where I can apply data mining techniques...
I'm looking for data sets that show customer behavior or activity and whether or not they bought a certain product. I'm looking to apply techniques like k-means clustering or decision trees to profile...
View ArticleThe data science debate: domain expertise or machine learning?
submitted by agconway [link] [comment]
View Articlehow does computer vision use machine learning?
I'm reading Szeliski's book about computer vision, and I can't always see a connection between computer vision and machine learning in many places. Especially in instance recognition. Does it exist? is...
View ArticleConfusion matrix with leave-one-out cross validation
I have started working on a project where we are using a nearest mean classifier on a noisy data set to evaluate different features. We do leave one out - where we leave out one sample, fit the...
View ArticleI need your help finding a suitable algorithm for an incremental learning...
Dear reddit, I am a compsci student from Germany and currently working on a project that will most likely be part of my bachelors thesis. I am having troubles finding an algorithm/method that allows me...
View ArticleHas any one tried torch7? How does it compare to matlab or numpy?
submitted by DoorsofPerceptron [link] [5 comments]
View Article