Four Machine Learning Techniques that Tackle Scale - And Not Just By Increasing Accuracy
January 2019 • Presentation
In this presentation the author presents an overview of the ways in which recent machine learning techniques can provide ancillary value—value beyond accurate predictions—that helps with the problems of scaling real-world implementations.
The author Lindsey Lack, of Gigamon Applied Threat Research, discussed ways in which recently developed machine learning techniques can help with some of the messier aspects of trying to apply a classification model to large-scale data. Learning about these issues and some of the potential remedies ahead of time will make the implementation of machine learning models to real-world security operations environments more likely to succeed.