Essential Statistics for Data Science: A Concise Crash Course
Language: English
Published by Oxford University Press, 2023
- Hardcover
- New
Seller: moluna, Greven, Germanymoluna
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Condition: New
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Über den AutorMu Zhu is Professor in the Department of Statistics & Actuarial Science at the University of Waterloo, and Fellow of the American Statistical Association. He received his AB magna cum laude in applied mathematics from .
Seller Inventory # 753992208
- Title
- Essential Statistics for Data Science: A Concise Crash Course
- Author
- Zhu, Mu (Professor, University of Waterloo)
- Publisher
- Oxford University Press
- Publication year
- 2023
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0192867733
- ISBN 13
- 9780192867735
Part I, Talking Probability explains that the statistical approach to analysing data starts with a probability model to describe the data generating process. Part II, Doing Statistics explains that much of statistical inference is about learning unknown quantities in the model (e.g. its parameters) from the data it is presumed to have generated. Part III, Facing Uncertainty explains the importance of explicitly describing how much uncertainty we have about the model parameters, especially those with intrinsic scientific meaning, and of taking that into account when making decisions.
Essential Statistics for Data Science: A Concise Crash Course provides an in-depth introduction for beginners, while being more serious than a typical undergraduate text, but still lighter and more accessible than an average graduate text.
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About the Author
"About the title" may belong to another edition of this title.
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