Machine Learning is at the forefront of Data Science and analytical coding, but to fully appreciate machine learning, one must have an understanding of the underlying math and statistics involved. The course will introduce you to the probabilistic concepts involved in understanding machine learning algorithms, as well as in their derivation.
This class will cover topics including:
- Overview of probability & terminology
- Independent & dependent events
- Tree diagrams
- Bayes theorem
This class is meant for those without any particular coding background, though some mathematical background will be helpful.