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

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.

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.

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