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Название: Introduction to Probability for Data Science
Автор: Stanley H. Chan
Издательство: Michigan Publishing
Год: 2021
Страниц: 709
Язык: английский
Формат: pdf (true)
Размер: 16.5 MB
An undergraduate textbook on probability for Data Science. This book is an introductory textbook in undergraduate probability. It has a mission: to spell out the motivation, intuition, and implication of the probabilistic tools we use in science and engineering. From over half a decade of teaching the course, I have distilled what I believe to be the core of probabilistic methods. I put the book in the context of Data Science to emphasize the inseparability between data (computing) and probability (theory) in our time.
Автор: Stanley H. Chan
Издательство: Michigan Publishing
Год: 2021
Страниц: 709
Язык: английский
Формат: pdf (true)
Размер: 16.5 MB
An undergraduate textbook on probability for Data Science. This book is an introductory textbook in undergraduate probability. It has a mission: to spell out the motivation, intuition, and implication of the probabilistic tools we use in science and engineering. From over half a decade of teaching the course, I have distilled what I believe to be the core of probabilistic methods. I put the book in the context of Data Science to emphasize the inseparability between data (computing) and probability (theory) in our time.