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Scalable Entity Resolution With Python and ML


Hands-On Entity Resolution: A Practical Guide to Data Matching with ...

Hands-On Entity Resolution: A Practical Guide to Data Matching with Python (Paperback) ... ML and AI. This book covers: Challenges in ...

Entity Resolution | Papers With Code

Entity resolution (also known as entity matching, record linkage, or duplicate detection) is the task of finding records that refer to the same real-world ...

SmallER: Scaling neural entity resolution for edge devices

... machine-learning) using software such as R, Python, or STATA. They will have a willingness to learn and apply a broad set of statistical and computational ...

Clean Up Your Data Using Scalable Entity Resolution ... - YouTube

training machine learning models. Sonal Goyal created and open ... stack and build an identity graph on your warehouse, giving you full ...

A scalable MapReduce-based design of an unsupervised entity ...

Kolb et al. (2011) presented a way of merging machine learning and MapReduce to solve the computational complexity problem in entity resolution. Entity ...

Customer Entity Resolution - Databricks

Training ML models to determine if these numerical labels form a match; Scoring the confidence of each match. Download notebook. Resources. Blog.

GSM: A generalized approach to Supervised Meta-blocking for ...

GSM: A generalized approach to Supervised Meta-blocking for scalable entity resolution ... Unless stated otherwise, we perform machine learning analysis using ...

Lorraine D'Almeida - Entity matching at scale | PyData Global 2020

... Python, Julia, and R. PyData conferences aim to be accessible and ... Large-Scale Entity Resolution - Sonal Goyal. DataTalksClub ⬛•723 ...

Hands-On Entity Resolution: A Practical Guide to Data Matching with ...

... ML and AI. This book covers:Challenges in deduplicating and ... Hands-On Entity Resolution: A Practical Guide to Data Matching with Python.

(Almost) all of entity resolution | Science Advances

We review modern probabilistic and Bayesian methods in statistics, computer science, machine learning, database management, economics, political science, and ...

Sonal Goyal on LinkedIn: GitHub - zinggAI/zingg: Scalable identity ...

GitHub - zinggAI/zingg: Scalable identity resolution, entity resolution, data mastering and deduplication using ML. ... Python API relied on ...

AWS New York Summit 2023 - AWS Entity Resolution | AWS Events

AWS Entity Resolution helps you match and link related records without the need to build custom solutions.

ERBlox: Combining matching dependencies with machine learning ...

Entity resolution (ER), an important and common data cleaning problem, is about detecting data duplicate representations for the same external entities, ...

Entity Resolution Explained Step by Step - YouTube

Matching data about people and organizations can be complicated. In this step-by-step video, Jeff Jonas reduces entity resolution down to ...

Scalable Entity Resolution Using Probabilistic Signatures on ... - arXiv

This paper presents a novel Entity Resolution algorithm that introduces a data-driven blocking and record-linkage technique based on the probabilistic ...

Building a Scalable Record Linkage System with Apache ... - YouTube

Building a Scalable Record Linkage System with Apache Spark, Python 3, and Machine Learning ... Maps and Meaning Graph based Entity Resolution ...

Splink

Fast, accurate and scalable probabilistic data linkage¶. Splink is a Python package for probabilistic record linkage (entity resolution) that allows you to ...

Hands-On Entity Resolution: A Practical Guide to Data Matching ...

Hands-On Entity Resolution: A Practical Guide to Data Matching With Python 9781098148485. Entity resolution is a key analytic technique that enables you to ...

A scalable MapReduce-based design of an unsupervised entity ...

... machine learning and MapReduce to solve the computational complexity problem in entity resolution. Entity resolution as a process can be ...

Introduction to the BigQuery entity resolution framework

Benefits · You can resolve entities in place without invoking data transfer fees because a subscriber or Google Cloud partner matches your data to their identity ...