Although traditional machine learning methods are being successfully used to solve many problems in cybersecurity, their success often depends on choosing and extracting the right features from a data set, which can be hard with complex data. In this podcast, Ritwik Gupta and Carson Sestili explore deep learning, a popular and quickly growing subfield of machine learning that has had great success on problems about these data sets, and on many other problems where picking the right features for the job is hard or impossible. Listen on Apple Podcasts.