Day Two of Machine Learning in Review

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

• How machine learning can be used to write more secure computer programs

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.

• How machine learning will accelerate data management systems

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.

• Machine Learning for Humans

Planning to go through this beginner ready series of tutorials, I like the way the're explained so far.

• My small Youtube Machine Learning Playlist

• 4 Types of Machine Intelligence You Should Know

Cognitive computing, AI, Machine learning, Deep learning

• H2O

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.