From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science
A textbook for a course in mathematical probability and statistics for computer science students.
Tag(s): Probability Statistics
Publication date: 01 Jun 2015
ISBN-10: n/a
ISBN-13: n/a
Paperback: 543 pages
Views: 10,420
Type: Textbook
Publisher: n/a
License: Creative Commons Attribution-No Derivative Works 3.0 United States License
Post time: 19 Jul 2016 02:00:00
From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science
Norman Matloff wrote:Why is this book different from all other books on mathematical probability and statistics? The key aspect is the book's consistently applied approach, especially important for engineering students.
Norman Matloff wrote:As prerequisites, the student must know calculus, basic matrix algebra, and have some skill in programming. As with any text in probability and statistics, it is also necessary that the student has a good sense of math intuition, and does not treat mathematics as simply memorization of formulas.
About The Author(s)
Dr. Norm Matloff is a professor of computer science at the University of California at Davis, and was formerly a professor of statistics at that university. He is a former database software developer in Silicon Valley, and has been a statistical consultant for firms such as the Kaiser Permanente Health Plan. He was born and raised in the Los Angeles area, and has a PhD in pure mathematics from UCLA, specializing in probability/functional analysis and statistics.
Dr. Norm Matloff is a professor of computer science at the University of California at Davis, and was formerly a professor of statistics at that university. He is a former database software developer in Silicon Valley, and has been a statistical consultant for firms such as the Kaiser Permanente Health Plan. He was born and raised in the Los Angeles area, and has a PhD in pure mathematics from UCLA, specializing in probability/functional analysis and statistics.