{"product_id":"hands-on-entity-resolution-a-practical-guide-to-data-matching-with-python-paperback","title":"Hands-On Entity Resolution: A Practical Guide to Data Matching with Python - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eMichael Shearer\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eEntity 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. \u003c\/p\u003e\u003cp\u003e 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. \u003c\/p\u003e\u003cp\u003e 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. This book covers: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eChallenges in deduplicating and joining datasets \u003c\/li\u003e\n\u003cli\u003eExtracting, cleansing, and preparing datasets for matching \u003c\/li\u003e\n\u003cli\u003eText matching algorithms to identify equivalent entities \u003c\/li\u003e\n\u003cli\u003eTechniques for deduplicating and joining datasets at scale \u003c\/li\u003e\n\u003cli\u003eMatching datasets containing persons and organizations \u003c\/li\u003e\n\u003cli\u003eEvaluating data matches \u003c\/li\u003e\n\u003cli\u003eOptimizing and tuning data matching algorithms \u003c\/li\u003e\n\u003cli\u003eEntity resolution using cloud APIs \u003c\/li\u003e\n\u003cli\u003eMatching using privacy-enhancing technologies \u003c\/li\u003e\n\u003c\/ul\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 196\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.42 x 9.19 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 12, 2024\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47213281640697,"sku":"9781098148485","price":75.58,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/V416Xu9Mz_9781098148485.webp?v=1768104478","url":"https:\/\/bookscloud.io\/products\/hands-on-entity-resolution-a-practical-guide-to-data-matching-with-python-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}