Resources explored on second day
- Machine learning needs machine teaching
Machine teaching and machine learning are necessary complements to one another; you need both. And for the large part, most of what comprises machine teaching these days consists of giant label data sets.
Common use cases for reinforcement learning: [..] tuning
Machine Teaching is the new Programming
As an example, when you find a vulnerability in code, the question that often arises is whether there are similar vulnerabilities still in that same program.
ML tools will free them [database administrators] to focus on complex tasks that are harder to automate.
compute is becoming much cheaper. Suddenly, using machine learning to train this mapping actually pays off.
Planning to go through this beginner ready series of tutorials, I like the way the’re explained so far.
Cognitive computing, AI, Machine learning, Deep learning
Makes for an interesting exploration in AI , going through this list of steps to start with: http://h2o-release.s3.amazonaws.com/h2o/rel-wright/3/index.html . Also planning to go through this Deep Learning with H2O in order to try the h2o library offerings.