Dive Into Data Science

Use Python To Tackle Your Toughest Business Challenges

Bradford Tuckfield (Autor)

Buch | Softcover

288 Seiten

2023
No Starch Press,US (Verlag)
978-1-7185-0288-8 (ISBN)

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This beginner's book will teach you how to apply the principles of data science to improve your business strategies - no math proficiency required! Easy-to-follow chapters take the reader through concepts like 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. The tone is conversational, and the author avoids the dense mathematical theories associated with data science in favour of simple explanations and practical applications. By the end of the book, readers should be comfortable working with data, applying data to business problems, and using best practices to analyse data using Python.

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.

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

Erscheinungsdatum	23.06.2023
Verlagsort	San Francisco
Sprache	englisch
Maße	177 x 234 mm
Themenwelt	Mathematik / Informatik ► Informatik
Themenwelt	Wirtschaft ► Betriebswirtschaft / Management
ISBN-10	1-7185-0288-5 / 1718502885
ISBN-13	978-1-7185-0288-8 / 9781718502888
Zustand	Neuware