Applied statistics and Probability for Computer Scientists

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Applied statistics and Probability for Computer Scientists#

About The course#

This course provides a comprehensive introduction to applied statistics and probability theory, tailored specifically for computer scientists. It covers fundamental concepts and techniques that are essential for data analysis, machine learning, and algorithm design.

Prerequisites#

Basic knowledge of:

  • Python programming

  • Linear algebra

  • Calculus (introductory level)

References#

Forsyth, D. (2018). Probability and Statistics for Computer Science. Springer International Publishing.

Contents