Probability and Statistics for Data Science by Carlos Fernand... - 9781009180092
Probability and Statistics for Data ScienceAuthor(s): Carlos Fernandez-Granda
Format: Paperback
Publisher: Cambridge University Press, United Kingdom
Imprint: Cambridge University Press
ISBN-13: 9781009180092, 978-1009180092
Synopsis
This self-contained guide introduces two pillars of data science, probability theory, and statistics, side by side, in order to illuminate the connections between statistical techniques and the probabilistic concepts they are based on. The topics covered in the book include random variables, nonparametric and parametric models, correlation, estimation of population parameters, hypothesis testing, principal component analysis, and both linear and nonlinear methods for regression and classification. Examples throughout the book draw from real-world datasets to demonstrate concepts in practice and confront readers with fundamental challenges in data science, such as overfitting, the curse of dimensionality, and causal inference. Code in Python reprodu.
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Details:Probability and Statistics for Data Science by Carlos Fernand... - 9781009180092
Probability and Statistics for Data ScienceAuthor(s): Carlos Fernandez-Granda
Format: Paperback
Publisher: Cambridge University Press, United Kingdom
Imprint: Cambridge University Press
ISBN-13: 9781009180092, 978-1009180092
Synopsis
This self-contained guide introduces two pillars of data science, probability theory, and statistics, side by side, in order to illuminate the connections between statistical techniques and the probabilistic concepts they are based on. The topics covered in the book include random variables, nonparametric and parametric models, correlation, estimation of population parameters, hypothesis testing, principal component analysis, and both linear and nonlinear methods for regression and classification. Examples throughout the book draw from real-world datasets to demonstrate concepts in practice and confront readers with fundamental challenges in data science, such as overfitting, the curse of dimensionality, and causal inference. Code in Python reprodu.
Price now:
From
£55.00
To
£57.17
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Product Description
Probability and Statistics for Data ScienceAuthor(s): Carlos Fernandez-Granda
Format: Paperback
Publisher: Cambridge University Press, United Kingdom
Imprint: Cambridge University Press
ISBN-13: 9781009180092, 978-1009180092
Synopsis
This self-contained guide introduces two pillars of data science, probability theory, and statistics, side by side, in order to illuminate the connections between statistical techniques and the probabilistic concepts they are based on. The topics covered in the book include random variables, nonparametric and parametric models, correlation, estimation of population parameters, hypothesis testing, principal component analysis, and both linear and nonlinear methods for regression and classification. Examples throughout the book draw from real-world datasets to demonstrate concepts in practice and confront readers with fundamental challenges in data science, such as overfitting, the curse of dimensionality, and causal inference. Code in Python reprodu.
Product Specifications
General | |
|---|---|
Brand | Cambridge University Press |
format | trade paperback |
Language | english |
type | textbook |
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