This textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning.
With careful treatment of topics that fill the curricular needs for the course, Probability and Statistics for Computer Science features:
- A treatment of random variables and expectations dealing primarily with the discrete case.
- A practical treatment of simulation, showing how many...
This textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive background in qualit...