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Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.

3 votes

When do kernel based method perform better than the regular

Just some more thoughts to previous answer: What is Kernel or Kernel Method ? Kernel or Positive-definite kernel is a generalization of a positive-definite matrix.In linear algebra, a symmetric n × …
rdorlearn's user avatar
  • 3,643
9 votes
2 answers
7k views

Clustering a noisy data or with outliers

I have a noisy data of two variables like this. x1 <- rep(seq(0,1, 0.1), each = 3000) set.seed(123) y1 <- rep (c(0.2, 0.8, 0.3, 0.9, 0.65, 0.35,0.7,0.1,0.25, 0.3, 0.95), each = 3000) set.seed(1234) …
rdorlearn's user avatar
  • 3,643
2 votes
1 answer
8k views

kernels and similarity (in R)

I am trying fit different kernels to calculate similarity matrix in R. Here is example data - X matrix : X <- matrix(rep(0,200*1000),200,1000) set.seed(123) for (i in 1:200) { X[i,] <- ifelse(runif(1 …
rdorlearn's user avatar
  • 3,643
30 votes
3 answers
14k views

Bayesian lasso vs ordinary lasso

Different implementation software are available for lasso. I know a lot discussed about bayesian approach vs frequentist approach in different forums. My question is very specific to lasso - What are …
rdorlearn's user avatar
  • 3,643
2 votes
1 answer
60 views

prediction of polls

Just as an example Scotland has poll to decide whether they need to be independent from UK or not. Here is BBC's summary of different polls: http://www.bbc.com/news/events/scotland-decides/poll-track …
rdorlearn's user avatar
  • 3,643