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Download the fantastic book titled Practical Statistics for Data Scientists written by Peter Bruce, 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 "Practical Statistics for Data Scientists", which was released on 10 May 2017. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Practical Statistics for Data Scientists by Peter Bruce PDF

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 from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data


Detail About Practical Statistics for Data Scientists PDF

  • Author : Peter Bruce
  • Publisher : "O'Reilly Media, Inc."
  • Genre : Computers
  • Total Pages : 395 pages
  • ISBN : 1491952911
  • PDF File Size : 49,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Practical Statistics for Data Scientists

Practical Statistics for Data Scientists
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 25,8 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

Statistics for Data Scientists

Statistics for Data Scientists
  • Publisher : Springer Nature
  • File Size : 44,8 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

Foundations of Statistics for Data Scientists

Foundations of Statistics for Data Scientists
  • Publisher : CRC Press
  • File Size : 22,6 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

Computational Statistics in Data Science

Computational Statistics in Data Science
  • Publisher : John Wiley & Sons
  • File Size : 55,6 Mb
  • Release Date : 23 March 2022
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Ein unverzichtbarer Leitfaden bei der Anwendung computergestützter Statistik in der modernen Datenwissenschaft In Computational Statistics in Data Science präsentiert ein Team aus bekannten Mathematikern und Statistikern eine fundierte

Probability and Statistics for Data Science

Probability and Statistics for Data Science
  • Publisher : CRC Press
  • File Size : 41,7 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

R for Data Science

R for Data Science
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 40,9 Mb
  • Release Date : 12 December 2016
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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed

Statistics for Data Science

Statistics for Data Science
  • Publisher : Packt Publishing Ltd
  • File Size : 22,8 Mb
  • Release Date : 17 November 2017
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Get your statistics basics right before diving into the world of data science About This Book No need to take a degree in statistics, read this book and get a

Statistical Foundations of Data Science

Statistical Foundations of Data Science
  • Publisher : CRC Press
  • File Size : 44,8 Mb
  • Release Date : 21 September 2020
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Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It

Principles of Managerial Statistics and Data Science

Principles of Managerial Statistics and Data Science
  • Publisher : John Wiley & Sons
  • File Size : 38,5 Mb
  • Release Date : 05 February 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