Probability for Data Scientists First Edition Book [PDF] Download

Download the fantastic book titled Probability for Data Scientists First Edition written by Juana Sánchez, 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 for Data Scientists First Edition ", which was released on 31 May 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computer science genre.

Summary of Probability for Data Scientists First Edition by Juana Sánchez PDF

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 machine learning theory by enabling scientists to move beyond mere descriptions of data to inferences about specific populations. The book is divided into two parts. Part I introduces readers to fundamental definitions, theorems, and methods within the context of discrete sample spaces. It addresses the origin of the mathematical study of probability, main concepts in modern probability theory, univariate and bivariate discrete probability models, and the multinomial distribution. Part II builds upon the knowledge imparted in Part I to present students with corresponding ideas in the context of continuous sample spaces. It examines models for single and multiple continuous random variables and the application of probability theorems in statistics. Probability for Data Scientists effectively introduces students to key concepts in probability and demonstrates how a small set of methodologies can be applied to a plethora of contextually unrelated problems. It is well suited for courses in statistics, data science, machine learning theory, or any course with an emphasis in probability. Numerous exercises, some of which provide R software code to conduct experiments that illustrate the laws of probability, are provided in each chapter.


Detail About Probability for Data Scientists First Edition PDF

  • Author : Juana Sánchez
  • Publisher : Cognella Academic Publishing
  • Genre : Computer science
  • Total Pages : 341 pages
  • ISBN : 9781516532704
  • PDF File Size : 53,9 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Probability for Data Scientists (First Edition)

Probability for Data Scientists (First Edition)
  • Publisher : Cognella Academic Publishing
  • File Size : 31,8 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

Practical Statistics for Data Scientists

Practical Statistics for Data Scientists
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 43,8 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

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Probability and Statistics for Data Science
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  • 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

Time Series for Data Scientists

Time Series for Data Scientists
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  • File Size : 22,7 Mb
  • Release Date : 30 April 2023
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A user-friendly, introductory, learning-by-doing bridge between classical and machine learning time series analysis with R.

Data Science from Scratch

Data Science from Scratch
  • Publisher : "O'Reilly Media, Inc."
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Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science.

Introduction to Probability for Data Science

Introduction to Probability for Data Science
  • Publisher : Michigan Publishing Services
  • File Size : 31,6 Mb
  • Release Date : 03 June 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

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  • Publisher : Springer Nature
  • File Size : 37,7 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

Principles of Managerial Statistics and Data Science

Principles of Managerial Statistics and Data Science
  • Publisher : John Wiley & Sons
  • File Size : 40,5 Mb
  • Release Date : 09 January 2020
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Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business students Through a statistical perspective, this book introduces readers to the

High-Dimensional Probability

High-Dimensional Probability
  • Publisher : Cambridge University Press
  • File Size : 53,9 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.