Spent the afternoon revising the paper on the Isolation Forest algorithm for anomaly detection ⚡
The paper explores the use of decision trees to detect anomalous points in a dataset, also wrote a quick prototype in Python and it took just 100 lines of code to build a deeper understanding.
If this sounds interesting, you can find an annotated version of this paper and others on my papershelf.
arpitbhayani.me/papershelf arpitbhayani.me/bookshelf