Data mining is the process of analyzing large amounts of data in order to find patterns and commonalities.
When we have to predict the value of a categorical (or discrete) outcome we use logistic regression. I believe we …
machine-learning data-mining linear-regressionCan someone explain what the difference is between classification and clustering in data mining? If you can, please give examples …
machine-learning classification cluster-analysis data-mining terminologyCosine Similarity article on Wikipedia Can you show the vectors here (in a list or something) and then do the …
text data-mining cosine-similarityGiven a vector of scores and a vector of actual class labels, how do you calculate a single-number AUC metric …
r machine-learning data-mining aucWhat technology goes in behind the screens of Amazon recommendation technology? I believe that Amazon recommendation is currently the best …
algorithm language-agnostic data-miningI recently studied about supervised learning and unsupervised learning. From theory, I know that supervised means getting the information from …
machine-learning deep-learning data-mining supervised-learning unsupervised-learningWhen we have a high degree linear polynomial that is used to fit a set of points in a linear …
machine-learning data-mining regressionI am doing some research about different data mining techniques and came across something that I could not figure out. …
data-mining decision-tree bayesian-networksI'm trying to compile a list of information that is accessible via javascript such as: Geo-location IP address Browser software …
javascript data-mining data-retrievalI know that principal component analysis does a SVD on a matrix and then generates an eigen value matrix. To …
machine-learning data-mining svd