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US Patent 11977958 Network-accessible machine learning model training and hosting system

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Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
119779581
Patent Inventor Names
Stefano Stefani1
Owen Thomas1
Thomas Albert Faulhaber, Jr.1
Date of Patent
May 7, 2024
1
Patent Application Number
158215851
Date Filed
November 22, 2017
1
Patent Citations
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US Patent 9350747 Methods and systems for malware analysis
1
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US Patent 10303388 Storage filtering using container images
1
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US Patent 10490183 Fully managed and continuously trained automatic speech recognition service
1
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US Patent 10534965 Analysis of video content
1
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US Patent 10558924 Systems for second-order predictive data analytics, and related methods and apparatus
1
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US Patent 10621019 Using a client to manage remote machine learning jobs
1
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US Patent 10810491 Real-time visualization of machine learning models
1
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US Patent 10831519 Packaging and deploying algorithms for flexible machine learning
1
...
Patent Primary Examiner
‌
Li Wu Chang
1
CPC Code
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G06N 20/00
1
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G06F 9/45558
1
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G06F 9/455
1
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G06N 20/10
1
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G06F 9/5072
1
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G06F 9/50
1
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G06F 2009/4557
1
Patent abstract

A network-accessible machine learning service is provided herein. For example, the network-accessible machine learning service provider can operate one or more physical computing devices accessible to user devices via a network. These physical computing device(s) can host virtual machine instances that are configured to train machine learning models using training data referenced by a user device. These physical computing device(s) can further host virtual machine instances that are configured to execute trained machine learning models in response to user-provided inputs, generating outputs that are stored and/or transmitted to user devices via the network.

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