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US Patent 11989627 Automated machine learning pipeline generation

Overview Structured Data Issues Contributors Activity

Is a

Patent

Date Filed

June 29, 2020

Date of Patent

May 21, 2024

Patent Application Number

16915871

Patent Citations

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US Patent 8463811 Automated correlation discovery for semi-structured processes

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US Patent 9508347 Method and device for parallel processing in model training

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US Patent 9529837 Systems and methods involving a multi-pass algorithm for high cardinality data

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US Patent 9552408 Nearest neighbor clustering determination and estimation algorithm that hashes centroids into buckets and redistributes vectors between clusters

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US Patent 9563854 Distributed model training

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US Patent 9838410 Identity resolution in data intake stage of machine data processing platform

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US Patent 10148623 Apparatus and methods ensuring data privacy in a content distribution network

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US Patent 10193913 Joint anomaly detection across IOT devices

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US Patent 10210246 Techniques for similarity analysis and data enrichment using knowledge sources

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US Patent 10311044 Distributed data variable analysis and hierarchical grouping system

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Patent Inventor Names

Christopher Zachariah Jost

Jianbo Liu

Nikolay Kolotey

Harnish Botadra

Jakub Zablocki

Aditya Vinayak Bhise

Prince Grover

Tanay Bhargava

Thiago Goes Arjona

Jae Sung Jang

Patent Jurisdiction

United States Patent and Trademark Office

Patent Number

11989627

Patent Primary Examiner

CPC Code

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