Suppose we have the following algorithm An online linear regression algorithm implemented using gradient descent. The step rate $\alpha$ is calculated using something that correlates to the squared ...
We need an early warning system. I am dealing with a server that is known to have performance issues under load. Errors are recorded in a database along with a timestamp. There are some manual ...
I just found out about Pleco the other day and was wondering how they achieve this type of accuracy: http://www.youtube.com/watch?v=x7VTo0656Rc I have a strong background in machine learning, yet ...
I have been asked to do some real time data analysis. The data values represent parameters of phone calls for a telco (like number of calls, call length, etc.) If the numbers suddenly drop or spike, ...
I'm analysing some data where I would like to perform ordinary linear regression, however this is not possible as I am dealing with an on-line setting with a continuous stream of input data (which ...
I have a process which writes statistics from a server system to a file each second in this format: label1 label2 label3 344 666 787 344 849 344 939 994 344 ...
This post is the continuation of another post related to a generic method for outlier detection in time series. Basically, at this point I'm interested in a robust way to discover the ...
I am working with a large amount of time series. These time series are basically network measurements coming every 10 minutes, and some of them are periodic (i.e. the bandwidth), while some other ...
I am interested in tools/techniques that can be used for analysis of streaming data in "real-time"*, where latency is an issue. The most common example of this is probably price data from a financial ...