Michelangelo (machine learning platform)

Michelangelo (machine learning platform)

Uber's machine learning platform.

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Edits on 20 May, 2020
Jason D. Rowley
Jason D. Rowley edited on 20 May, 2020 6:57 pm
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Edits on 25 June, 2019
Will Suter"Approved suggestion from source: https://eng.uber.com/michelangelo/"
Will Suter approved a suggestion from Golden's AI on 25 June, 2019 3:32 pm
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Edits on 1 May, 2019
Emerson Spartz
Emerson Spartz approved a suggestion from Golden's AI on 1 May, 2019 1:34 am
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The Uber Engineering team started the development of Michelangelo in mid 2015. It was built with a mix of open source systems and components made in-house. The primary open sourced components used are HDFS, SparkSpark, Samza, Cassandra, MLLib, XGBoost, and TensorFlow.

Edits on 13 April, 2019
Jessica Karpinski
Jessica Karpinski edited on 13 April, 2019 8:21 pm
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Edits on 7 August, 2018
Golden AI"Linkify text links in standard tables"
Golden AI edited on 7 August, 2018 11:22 pm
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Further reading (+119/-119 characters)

Further reading

Author
Title
Link
Type

Jeremy Hermann and Mike Del Balso

Meet Michelangelo: Uber’s Machine Learning Platform

https://eng.uber.com/michelangelo/https://eng.uber.com/michelangelo/

Priya Singh

Meet Michelangelo, Uber’s Machine Learning SaaS Platform

https://analyticsindiamag.com/meet-michelangelo-ubers-machine-learning-saas-platform/https://analyticsindiamag.com/meet-michelangelo-ubers-machine-learning-saas-platform/

Edits on 7 August, 2018
Carla Faraguna
Carla Faraguna edited on 7 August, 2018 4:59 pm
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Article

The Uber Engineering team started the development of Michelangelo in mid 2015. It was built with a mix of open source systems and components made in-house. The primary open sourced components used are HDFS, Spark, Samza, Cassandra, MLLib, XGBoostXGBoost, and TensorFlow.

Edits on 23 July, 2018
Jude Gomila
Jude Gomila edited on 23 July, 2018 4:28 am
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Article

The Uber Engineering team started the development of Michelangelo in mid 2015. It was built with a mix of open source systems and components made in-house. The primary open sourced components used are HDFS, Spark, Samza, Cassandra, MLLib, XGBoost, and TensorFlowTensorFlow.

Edits on 14 May, 2018
Jude Gomila
Jude Gomila edited on 14 May, 2018 6:16 am
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Article (+16/-16 characters)

Article

Michelangelo is the machine learningmachine learning platform of Uber. It enables users across the company to build, deploy and operate machine learning solutions at their scale. It is designed to cover the whole machine learning workflow, manage data, train, evaluate and deploy models, make predictions and monitor predictions.

Edits on 30 March, 2018
Melanie Manipula
Melanie Manipula edited on 30 March, 2018 12:51 am
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Further reading (+1 rows) (+3 cells) (+152 characters)
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Article

Michelangelo is the internal machine learning platform of UberUber. It enables users across the company to build, deploy and operate machine learning solutions at their scale. It is designed to cover the end-to-endwhole machine learning workflow:, manage data, train, evaluate and deploy models, make predictions and monitor predictions.

It is the internal ML-as-a-service platform that democratizes machine learning and makes scaling AI to meet the needs of business as easy as requesting a ride. It is created to be the system that addresses scalable model training and dispatch to production serving vessels.

The Uber Engineering team started the development of Michelangelo in mid 2015. It was built with a mix of open source systems and components made in-house. The primary open sourced components used are HDFS, Spark, Samza, Cassandra, MLLib, XGBoost, and TensorFlow.

UberEats, a food delivery application uses Michelangelo as its machine learning platform.

Further reading

Author
Title
Link

Priya Singh

Meet Michelangelo, Uber’s Machine Learning SaaS Platform

https://analyticsindiamag.com/meet-michelangelo-ubers-machine-learning-saas-platform/

Categories

Related Topics

Edits on 29 March, 2018
Melanie Manipula
Melanie Manipula edited on 29 March, 2018 9:38 pm
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Article
Further reading (+1 rows)

Article

Further reading

Author
Title
Link

Jeremy Hermann and Mike Del Balso

Meet Michelangelo: Uber’s Machine Learning Platform

https://eng.uber.com/michelangelo/

Edits on 18 January, 2018
Jude Gomila"correction"
Jude Gomila edited on 18 January, 2018 9:22 pm
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Michelangelo (machine learning platform ) Michelangelo (machine learning platform)

Uber's machine learning platform.

Jude Gomila"removing marketing language"
Jude Gomila edited on 18 January, 2018 9:02 pm
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Article

Michelangelo is the internal machine learning platform of Uber. It enables users across the company to seamlessly build, deploy and operate machine learning solutions at their scale. It is designed to cover the end-to-end machine learning workflow: manage data, train, evaluate and deploy models, make predictions and monitor predictions.

Melanie Manipula
Melanie Manipula edited on 18 January, 2018 8:33 pm
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Article (+338 characters)
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Michealangelo Michelangelo (machine learning platform )

Uber's machine learning platform.

Article

Michelangelo is the internal machine learning platform of Uber. It enables users across the company to seamlessly build, deploy and operate machine learning solutions at their scale. It is designed to cover the end-to-end machine learning workflow: manage data, train, evaluate and deploy models, make predictions and monitor predictions.

Melanie Manipula"Initial topic creation"
Melanie Manipula created this topic on 18 January, 2018 7:56 pm
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 Michealangelo

Uber's machine learning platform.

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