Here is a little recipe for using good old PCA to do some fast and efficient time series anomaly detection.
I like an excuse to play with fancy things, so when i first learned about the Matrix Profile for time series analysis, particularly around anomaly detection, i was intrigued. When i learned there was a nice python package (STUMPY) i could just pip install i was outright excited, as one thing i like more than … Continue reading Anomaly Detection using the Matrix Profile
as it looks - made in about 20 seconds in google drawing 🙂 I've been thinking for a while that there really should be some go-to online community for people interested in ML and ireland in some way. I was fairly surprised to find that none really existed when i went to find one to … Continue reading “Machine Learning Ireland” slack community
Output of the Go script. I've posted recently about learning just enough Go to be dangerous over the christmas break, well here is a update on my adventures so far. The below script (which is probably horrible in places if you know Go properly - tips welcome) uses goroutines to pull data from some REST … Continue reading Time series anomaly detection in Go using GoLearn
A list of useful Anomaly Detection resources, as I find interesting material I will add to this list. - "Awesome" time series anomaly detection list of GitHub. - YouTube playlist of interesting anomaly detection videos I maintain. - An interesting r/machinelearning thread. - Public Mendeley group for interesting Anomaly Detection papers. - KDD 2020 Tutorial … Continue reading Anomaly Detection Resources
always use a meme to kick off a tutorial Here is an anomaly detection tutorial that i created for my boss and the open source community where i work. It's part of some work i have been doing around adding some anomaly detection functionality into our open source monitoring project. Like most ML projects the … Continue reading Anomaly Detection Tutorial
I find myself having to refer to this enough times that I decided to make a little infographic I can just more easily link to 🙂
The Setup This is a little one I was surprised to see. Recently I had a need to do some pretty basic feature engineering to a pandas dataframe prior to training some models. Basically I needed to take differences of each column, apply some smoothing, and then add a number of lagged columns for each … Continue reading Numpy Feature Engineering – 2x Speed Up Over Pandas!
An actual market basket I found in my Google photos. tl; dr; if you find yourself doing some association rule mining using mlxtend but finding it a bit slow then checkout PyFIM - here is a colab I made to get you started. I have recently been looking to do some market basket analysis ("Association … Continue reading Market basket analysis in Python
don't mind if i do Here is a thing i helped build in work that i'm fairly happy with: https://www.linkedin.com/posts/andrewm4894_netdata-introducing-our-first-netdata-cloud-activity-6712008465574887424-SlIr Now, onto the next thing!