Visually understand & experience 7 core applied math areas required for machine learning and deep learning courses: Probability, Statistics, Calculus, Optimization Theory, Information Theory, Linear Algebra, Geometry.
Understand math required for algorithmic anlaysis, ACM-ICPC & IOI competition problems.
