[Télécharger] Practical Statistics for Data Scientists: 50 Essential Concepts de Peter Bruce Francais PDF
Télécharger Practical Statistics for Data Scientists: 50 Essential Concepts de Peter Bruce Livres En Ligne
Télécharger "Practical Statistics for Data Scientists: 50 Essential Concepts" de Peter Bruce Livres En Ligne
Auteur : Peter Bruce
Catégorie : Livres anglais et étrangers,Science,Mathematics
Broché : * pages
Éditeur : *
Langue : Français, Anglais
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
Télécharger Practical Statistics for Data Scientists: 50 Essential Concepts de Peter Bruce Livres En Ligne
Practical Statistics for Data Scientists - PDF eBook Free ~ Practical Statistics for Data Scientists. 50 Essential Concepts. Share on Facebook. Tweet on Twitter. Book Name: Practical Statistics for Data Scientists Author: Andrew Bruce, Peter Bruce ISBN-10: 1491952962 Year: 2017 Pages: 318 Language: English File size: 13.7 MB File format: PDF. Practical Statistics for Data Scientists Book Description: Statistical methods are a key part of of data .
Practical Statistics for Data Scientists [Book] ~ 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.
GitHub - andrewgbruce/statistics-for-data-scientists: Code ~ statistics-for-data-scientists. Code associated with the book "Practical Statistics for Data Scientists: 50 Essential Concepts" The scripts are stored by chapter and replicate most of the figures and code snippets. HOW TO GET THE DATA: Run R script: The data is not saved on github and you will need to download the data. You can do this in R .
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andrewgbruce · GitHub ~ statistics-for-data-scientists. Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts" R 698 494 0 contributions in the last year Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Sun Mon Tue Wed Thu Fri Sat. Learn how we count .
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