Online-Ressource
Verfasst von:	SHEARER, MICHAEL. [VerfasserIn]
Titel:	HANDS-ON ENTITY RESOLUTION
Titelzusatz:	a practical guide to data matching with python
Verlagsort:	[Erscheinungsort nicht ermittelbar]
Verlag:	O'REILLY MEDIA
Jahr:	2024
Umfang:	1 online resource
Fussnoten:	Includes bibliographical references and index
ISBN:	978-1-0981-4845-4
	1-0981-4845-2
Abstract:	Entity resolution is a key analytic technique that enables you to identify multiple data records that refer to the same real-world entity. With this hands-on guide, product managers, data analysts, and data scientists will learn how to add value to data by cleansing, analyzing, and resolving datasets using open source Python libraries and cloud APIs. Author Michael Shearer shows you how to scale up your data matching processes and improve the accuracy of your reconciliations. You'll be able to remove duplicate entries within a single source and join disparate data sources together when common keys aren't available. Using real-world data examples, this book helps you gain practical understanding to accelerate the delivery of real business value. With entity resolution, you'll build rich and comprehensive data assets that reveal relationships for marketing and risk management purposes, key to harnessing the full potential of ML and AI.
URL:	Aggregator: https://learning.oreilly.com/library/view/-/9781098148478/?ar
Datenträger:	Online-Ressource
Sprache:	eng
Bibliogr. Hinweis:	Erscheint auch als : Druck-Ausgabe
Sach-SW:	Modèles entité-association
	Exploration de données (Informatique)
K10plus-PPN:	1881694836
	Universitätsbibliothek
Lokale URL UB:	Zum Volltext
	Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
	Bestellen/Vormerken für Benutzer des Klinikums Mannheim Eigene Kennung erforderlich
Bibliothek/Idn:	UW / m4491978050
Lokale URL Inst.:	Zum Volltext