Family Matters: Using MinHash to Cluster Data
Unsupervised machine learning can give us insights that supervised learning cannot. Here, we go over one of these algorithms, MinHash.
Inquest uses a variety of machine learning algorithms to model the features of malware that we collect and to gain new insights from such data. Here we travel down the branching rabbit hole of random forests and gradient boosting.
Machine learning is one of the most versatile fields in all of computer science, with applications ranging from physics to art history, so, of course, it has a myriad of uses with regards to the detection and diagnosis of malicious programs; uses that we at InQuest would be remiss to not start utilizing ourselves. Here we go over some of the many ways ML algorithms are being leveraged for our purposes.