Amazon Technologies, Inc.

Urvashi Chowdhary

Arun Babu Nagarajan

Stefano Stefani

Leo Parker Dirac

Andrea Olgiati

Saurabh Gupta

Maximiliano Maccanti

Sunil Mallya Kasaragod

Vineet Khare

Zohar Karnin

Vladimir Zhukov

Gowda Dayananda Anjaneyapura Range

Sahika Genc

Bharathan Balaji

Lakshmi Naarayanan Ramakrishnan

Laurence Louis Eric Rouesnel

Owen Thomas

Weixun Wang

Kenneth O Henderson

Techniques described herein may be implemented in the context of a computing resource service provider. A machine learning (ML) service provides an interface to clients which can be used to create, read, update, and delete ML pipelines. ML pipelines can be converted to a human-readable format, which a server persists. Clients of a machine learning service can start, stop, and resume executions a ML pipeline based on the human-readable format of the ML pipeline.

Machine learning pipelines

A machine learning environment utilizing training data generated by customer networks. A reinforcement learning machine learning environment receives and processes training data generated by simulated hosted, or integrated, customer networks. The reinforcement learning machine learning environment corresponds to machine learning clusters that receive and process training data sets provided by the integrated customer networks. The customer networks include an agent process that collects training data and forwards the training data to the machine learning clusters. The machine learning clusters can be configured in a manner to automatically process the training data without requiring additional user inputs or controls to configure the application of the reinforcement learning machine learning processes.

Integrated machine learning training

Methods, systems, and computer-readable media for automated problem detection for machine learning models are disclosed. A machine learning analysis system receives data associated with use of a machine learning model. The data was collected by a machine learning inference system and comprises input to the model or a plurality of inferences representing output of the machine learning model. The machine learning analysis system performs analysis of the data associated with the use of the machine learning model. The machine learning analysis system detects one or more problems associated with the use of the machine learning model based at least in part on the analysis. The machine learning analysis system initiates one or more remedial actions associated with the one or more problems associated with the use of the machine learning model.

Automated problem detection for machine learning models

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Seattle, WA, United States of America

Urvashi Chowdhary