Hi, I am going to start working on anomaly detection using Spark MLIB. Please note that I have not used Spark so far.
I would like to read some data and if a user logged in from different ip address which is not common consider it as an anomaly, similar to what apple/google does. My preferred language of programming is JAVA. I am wondering if you can let me know about books/workshops which guide me on the ML algorithm to use and how to implement. I would like to know about the Spark supervised/unsupervised options and the suggested algorithm. I really appreciate if you share you thoughts/experience/insight with me. Best regards, Mina
