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An Introduction to Probability in Computing

Offered By: Indian Institute of Technology Madras via Swayam

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Computer Science Courses Statistics & Probability Courses Data Mining Courses Machine Learning Courses Probability Theory Courses Parameter Estimation Courses

Course Description

Overview

With the advent of machine learning, data mining, and many other modern applications of computer science, we are increasingly seeing the influence of probability theory on computer science. This course is aimed at providing a brief introduction to probability theory to CS students so that they can grasp recent CS trends more easily.


Syllabus

Week 1 : A brief axiomatic introduction to discrete probability theory – Karger’s Mincut
Week 2 : Random Variables – Quicksort
Week 3 : Markov’s and Chebyshev’s Inequalities – Randomized Median
Week 4 : Chernoff Bounds – Parameter Estimation & Quicksort Revisited


Taught by

John Augustine

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