Probability and Statistics for Data Science Book [PDF] Download

Download the fantastic book titled Probability and Statistics for Data Science written by Norman Matloff, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Probability and Statistics for Data Science", which was released on 21 June 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Business & Economics genre.

Summary of Probability and Statistics for Data Science by Norman Matloff PDF

Probability and Statistics for Data Science: Math + R + Data covers "math stat"—distributions, expected value, estimation etc.—but takes the phrase "Data Science" in the title quite seriously: * Real datasets are used extensively. * All data analysis is supported by R coding. * Includes many Data Science applications, such as PCA, mixture distributions, random graph models, Hidden Markov models, linear and logistic regression, and neural networks. * Leads the student to think critically about the "how" and "why" of statistics, and to "see the big picture." * Not "theorem/proof"-oriented, but concepts and models are stated in a mathematically precise manner. Prerequisites are calculus, some matrix algebra, and some experience in programming. Norman Matloff is a professor of computer science at the University of California, Davis, and was formerly a statistics professor there. He is on the editorial boards of the Journal of Statistical Software and The R Journal. His book Statistical Regression and Classification: From Linear Models to Machine Learning was the recipient of the Ziegel Award for the best book reviewed in Technometrics in 2017. He is a recipient of his university's Distinguished Teaching Award.


Detail About Probability and Statistics for Data Science PDF

  • Author : Norman Matloff
  • Publisher : CRC Press
  • Genre : Business & Economics
  • Total Pages : 295 pages
  • ISBN : 0429687117
  • PDF File Size : 21,6 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Probability and Statistics for Data Science

Probability and Statistics for Data Science
  • Publisher : CRC Press
  • File Size : 55,6 Mb
  • Release Date : 21 June 2019
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Probability and Statistics for Data Science: Math + R + Data covers "math stat"—distributions, expected value, estimation etc.—but takes the phrase "Data Science" in the title quite seriously: * Real datasets

Statistics for Data Scientists

Statistics for Data Scientists
  • Publisher : Springer Nature
  • File Size : 30,8 Mb
  • Release Date : 02 February 2022
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This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students. It uniquely combines a hands-on approach to data analysis – supported by

Practical Statistics for Data Scientists

Practical Statistics for Data Scientists
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 21,5 Mb
  • Release Date : 10 May 2017
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Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic

Introduction to Probability for Data Science

Introduction to Probability for Data Science
  • Publisher : Michigan Publishing Services
  • File Size : 22,7 Mb
  • Release Date : 21 May 2024
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"Probability is one of the most interesting subjects in electrical engineering and computer science. It bridges our favorite engineering principles to the practical reality, a world that is full of

Probability for Data Scientists (First Edition)

Probability for Data Scientists (First Edition)
  • Publisher : Cognella Academic Publishing
  • File Size : 21,6 Mb
  • Release Date : 31 May 2019
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Probability for Data Scientists provides students with a mathematically sound yet accessible introduction to the theory and applications of probability. Students learn how probability theory supports statistics, data science, and

Probability, Statistics, and Data

Probability, Statistics, and Data
  • Publisher : CRC Press
  • File Size : 22,8 Mb
  • Release Date : 26 November 2021
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This book is a fresh approach to a calculus based, first course in probability and statistics, using R throughout to give a central role to data and simulation. The book

High-Dimensional Probability

High-Dimensional Probability
  • Publisher : Cambridge University Press
  • File Size : 30,6 Mb
  • Release Date : 27 September 2018
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An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

Foundations of Statistics for Data Scientists

Foundations of Statistics for Data Scientists
  • Publisher : CRC Press
  • File Size : 34,7 Mb
  • Release Date : 22 November 2021
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Foundations of Statistics for Data Scientists: With R and Python is designed as a textbook for a one- or two-term introduction to mathematical statistics for students training to become data

Statistics with Julia

Statistics with Julia
  • Publisher : Springer Nature
  • File Size : 37,8 Mb
  • Release Date : 04 September 2021
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This monograph uses the Julia language to guide the reader through an exploration of the fundamental concepts of probability and statistics, all with a view of mastering machine learning, data