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Hands-On Entity Resolution
A Practical Guide to Data Matching with Python
Taschenbuch von Michael Shearer
Sprache: Englisch

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Beschreibung
"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. This book covers: challenges in deduplicating and joining datasets; extracting, cleansing, and preparing datasets for matching; text matching algorithms to identify equivalent entities; techniques for deduplicating and joining datasets at scale; matching datasets containing persons and organizations; optimizing and tuning data matching algorithms; entity resolution using cloud APIs; matching using privacy-enhancing technologies. 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 machine learning and AI."--
"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. This book covers: challenges in deduplicating and joining datasets; extracting, cleansing, and preparing datasets for matching; text matching algorithms to identify equivalent entities; techniques for deduplicating and joining datasets at scale; matching datasets containing persons and organizations; optimizing and tuning data matching algorithms; entity resolution using cloud APIs; matching using privacy-enhancing technologies. 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 machine learning and AI."--
Über den Autor
Michael Shearer is the Group Head of Compliance Product Management for HSBC. Since joining HSBC in 2014 he has led the delivery of financial crime risk capabilities for the bank, including industry-leading artificial intelligence and network analytics platforms. Prior to HSBC Michael spent 20 years in UK government service where he led the delivery of international projects to acquire and process large volumes of highly sensitive data.

Michael is a Chartered Engineer. He was educated at Queen's University Belfast where he gained a Master's degree in Electrical and Electronic Engineering with distinction.

Details
Erscheinungsjahr: 2024
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9781098148485
ISBN-10: 1098148487
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Shearer, Michael
Hersteller: O'Reilly Media
Maße: 229 x 172 x 12 mm
Von/Mit: Michael Shearer
Erscheinungsdatum: 31.03.2024
Gewicht: 0,36 kg
Artikel-ID: 128044529
Über den Autor
Michael Shearer is the Group Head of Compliance Product Management for HSBC. Since joining HSBC in 2014 he has led the delivery of financial crime risk capabilities for the bank, including industry-leading artificial intelligence and network analytics platforms. Prior to HSBC Michael spent 20 years in UK government service where he led the delivery of international projects to acquire and process large volumes of highly sensitive data.

Michael is a Chartered Engineer. He was educated at Queen's University Belfast where he gained a Master's degree in Electrical and Electronic Engineering with distinction.

Details
Erscheinungsjahr: 2024
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9781098148485
ISBN-10: 1098148487
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Shearer, Michael
Hersteller: O'Reilly Media
Maße: 229 x 172 x 12 mm
Von/Mit: Michael Shearer
Erscheinungsdatum: 31.03.2024
Gewicht: 0,36 kg
Artikel-ID: 128044529
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