For those considering an autodidactic alternative, this is for you. You can't go deeply into every machine learning topic. There's too much to learn, and the field is advancing rapidly. Motivation is far more important than micro-optimizing a learning strategy for some long-term academic or career goal. If you're trying to force yourself forward, you'll slow down.
It just occurred to me, that after a couple of years tracking Deep Learning developments, that nobody has even bothered to create a map of what's going on! So I quickly decided to come up with a Deep Learning roadmap. A word of warning, this is just a partial map and doesn't cover the latest developments. Many of the ideas I write on this blog isn't even covered by this map. Anyway, here's a start of this and hope people start coming out of their labs to further expand on it.
The human element of security includes people making mistakes, purposeful stealing of data or damage due to unauthorised use of accounts. In most systems there are lots of files logging activity such as login, web access, ip addresses, files and databases accessed. This data can be used to help'detect out of band' conditions that can trigger security alerts.