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Practical statistics for data scientists


Foto: Practical statistics for data scientists
Rubriek: Textual/Printed/Reference Materials - Boek
Prijs: 29.99
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Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying 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 or Python programming languages 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



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Product specificaties:

Taal: en

Bindwijze: E-book

Oorspronkelijke releasedatum: 10 april 2020

Ebook Formaat: -35528

Illustraties: Nee

Hoofdauteur: Peter Bruce

Tweede Auteur: Andrew Bruce

Co Auteur: Peter Gedeck

Hoofduitgeverij: O'Reilly Media

Lees dit ebook op: Desktop (Mac en Windows)

Lees dit ebook op: Kobo e-reader

Lees dit ebook op: Android (smartphone en tablet)

Lees dit ebook op: iOS (smartphone en tablet)

Lees dit ebook op: Windows (smartphone en tablet)

AI-gegenereerd: Nee

Editie: 2

Studieboek: Ja

eWaste: Nee

EAN: 9781492072898