Zum Hauptinhalt springen Zur Suche springen Zur Hauptnavigation springen
Dekorationsartikel gehören nicht zum Leistungsumfang.
Dive Into Data Science
Use Python To Tackle Your Toughest Business Challenges
Taschenbuch von Bradford Tuckfield
Sprache: Englisch

34,70 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

auf Lager, Lieferzeit 1-2 Werktage

Produkt Anzahl: Gib den gewünschten Wert ein oder benutze die Schaltflächen um die Anzahl zu erhöhen oder zu reduzieren.
Kategorien:
Beschreibung
"Learn how to apply the principles of data science to improve business strategies. Chapters cover concepts such as A/B testing, supervised and unsupervised machine learning, web scraping, and more. Each concept is illustrated using real-world business applications, real-world data, and useful Python code examples"--
"Learn how to apply the principles of data science to improve business strategies. Chapters cover concepts such as A/B testing, supervised and unsupervised machine learning, web scraping, and more. Each concept is illustrated using real-world business applications, real-world data, and useful Python code examples"--
Über den Autor
Bradford Tuckfield is a data scientist, a consultant, and a writer. He received a PhD from the Wharton School of the University of Pennsylvania, and a BS in Mathematics from Brigham Young University. He is the author of Dive Into Algorithms (No Starch Press) and Applied Unsupervised Learning with R (Packt). In addition to working as a data scientist and tech manager for top finance firms and startups, his research has appeared in academic journals spanning math, business management, and medicine.
Inhaltsverzeichnis
Acknowledgments
Introduction

Chapter 1: Exploratory Data Analysis
Chapter 2: Forecasting
Chapter 3: Group Comparisons
Chapter 4: A/B Testing
Chapter 5: Binary Classification
Chapter 6: Supervised Learning
Chapter 7: Unsupervised Learning
Chapter 8: Web Scraping
Chapter 9: Recommendation Systems
Chapter 10: Natural Language Processing
Chapter 11: Data Science in Other Languages
Index
Details
Erscheinungsjahr: 2023
Fachbereich: Management
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781718502888
ISBN-10: 1718502885
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Tuckfield, Bradford
Hersteller: Random House LLC US
No Starch Press
Verantwortliche Person für die EU: Springer Fachmedien Wiesbaden GmbH, Postfach:15 46, D-65189 Wiesbaden, info@bod.de
Maße: 231 x 181 x 22 mm
Von/Mit: Bradford Tuckfield
Erscheinungsdatum: 04.07.2023
Gewicht: 0,578 kg
Artikel-ID: 121490946
Über den Autor
Bradford Tuckfield is a data scientist, a consultant, and a writer. He received a PhD from the Wharton School of the University of Pennsylvania, and a BS in Mathematics from Brigham Young University. He is the author of Dive Into Algorithms (No Starch Press) and Applied Unsupervised Learning with R (Packt). In addition to working as a data scientist and tech manager for top finance firms and startups, his research has appeared in academic journals spanning math, business management, and medicine.
Inhaltsverzeichnis
Acknowledgments
Introduction

Chapter 1: Exploratory Data Analysis
Chapter 2: Forecasting
Chapter 3: Group Comparisons
Chapter 4: A/B Testing
Chapter 5: Binary Classification
Chapter 6: Supervised Learning
Chapter 7: Unsupervised Learning
Chapter 8: Web Scraping
Chapter 9: Recommendation Systems
Chapter 10: Natural Language Processing
Chapter 11: Data Science in Other Languages
Index
Details
Erscheinungsjahr: 2023
Fachbereich: Management
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781718502888
ISBN-10: 1718502885
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Tuckfield, Bradford
Hersteller: Random House LLC US
No Starch Press
Verantwortliche Person für die EU: Springer Fachmedien Wiesbaden GmbH, Postfach:15 46, D-65189 Wiesbaden, info@bod.de
Maße: 231 x 181 x 22 mm
Von/Mit: Bradford Tuckfield
Erscheinungsdatum: 04.07.2023
Gewicht: 0,578 kg
Artikel-ID: 121490946
Sicherheitshinweis

Ähnliche Produkte

Ähnliche Produkte