An overview of Supervised, Unsupervised, and Reinforcement Learning with Python Demos
Description
Course gives a big picture, (mostly) non-technical overview of Supervised, Unsupervised, and Reinforcement Learning
- Ideas are presented using lots of examples with animations and plots
- A demo of course Python codes is presented
- A list of resources for further study of machine learning is provided
Students who would like to run and experiment with the demo codes will need to have a Google (or gmail) account or have Python on their machine (can install the Anaconda platform). Knowledge of Python is not required to experiment with codes.
Who this course is for:
- People curious about machine learning and data science
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