This item is in overall good condition. Covers and dust jackets are intact but may have minor wear including slight curls or bends to corners as well as cosmetic blemishes including stickers. Pages are intact but may have minor highlighting/ writing. Binding is intact; however, spine may have slight wear overall. Digital codes may not be included and have not been tested to be redeemable and/or active. Minor shelf wear overall. Please note that all items are donated goods and are in used condition. Orders shipped Monday through Friday! Your purchase helps put people to work and learn life skills to reach their full potential. Orders shipped Monday through Friday. Your purchase helps put people to work and learn life skills to reach their full potential. Thank you! Bestandsnummer des Verk�ufers 466SK8002GO4

Verk�ufer kontaktieren

Diesen Artikel melden

Bibliografische Details

Titel: Practical Statistics for Data Scientists: 50...

Verlag: O'Reilly Media

Erscheinungsdatum: 2017

Einband: paperback

Zustand: Good

�ber diesen Titel

Rese�a del editor:

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

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.

Anbieterinformationen

For over half a century, Goodwill of Colorado has been dedicated to breaking the financial, physical, intellectual and social barriers that keep individuals from leading independent and purpose-filled lives. We accomplish this mission through over 40 diverse and innovative employment and life skills programs that foster confidence and opportunity for individuals with economic and development challenges.

Zur Homepage des Verk�ufers