Probability for Machine Learning

Probability for Machine Learning

Regular price

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.

Mentorship at Nestria

Learn from the Best

Remove the uncertainty of joining a new field. Get advice from those who’ve been there, on whatever topics you struggle with.