MLOps @MLOps_Org

#MLOps (a compound of “machine learning” and “operationalization”) is the practice of operationalizing and managing the lifecycle of ML in production. mlops.org Joined August 2018

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MLOps @MLOps_Org

6 years ago

ParallelM, the pioneer in MLOps, has become part of DataRobot, the leader in automated machine learning and a true innovator in AI. @DataRobot @ParallelM_AI #ai #ML #machinelearning

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MLOps @MLOps_Org

7 years ago

Join Dan Darnell, VP of Product for ParallelM on the DM Radio tomorrow. dmradio.dataversity.net/fintech-revolu…

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How can you trust machine learning? You need machine learning integrity. Learn about the key components of ML integrity in this article from Forbes. #MachineLearning #explainability #explainableAI forbes.com/sites/cognitiv…

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Andrew Ng @AndrewYNg

7 years ago

1/The rise of Software Engineering required inventing processes like version control, code review, agile, to help teams work effectively. The rise of AI & Machine Learning Engineering is now requiring new processes, like how we split train/dev/test, model zoos, etc.

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MLOps @MLOps_Org

7 years ago

Your Machine Learning models should be deployed as a microservice. Find out more. #machinelearning #AI #microservices #DevOps parallelm.com/ml-deployed-mi…

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MLOps @MLOps_Org

7 years ago

ML Ninja Lior Amar provides 6 tips for deploying Python from development to production. parallelm.com/notes-from-an-…

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MLOps @MLOps_Org

7 years ago

Explainability is different in production. This blog from ParallelM explains how. parallelm.com/a-design-patte…

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MLOps @MLOps_Org

7 years ago

Swami Sundararaman of @ParallelM_AI is presenting at the International Conference on Machine Learning and Applications in Orlando on Explainability for Machine Learning in Production parallelm.com/parallelm-to-s… … #MachineLearning #MLOps #DeepLearning #AI

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MLOps @MLOps_Org

7 years ago

What is #machinelearning? @techreview's @_KarenHao explains: ow.ly/W3Z850jNoIK

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MLOps @MLOps_Org

7 years ago

What is the current state of #AI in the #enterprise? @LouisColumbus shares: ow.ly/kHJC50jKp0s via @Forbes #artificialintelligence #machinelearning

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MLOps @MLOps_Org

7 years ago

.@InfoWorld: 5 companies share their mistakes (and lessons learned) with #MachineLearning: ow.ly/uryf50jKm8s

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KDnuggets @kdnuggets

7 years ago

Machine Learning in Action: Going Beyond Decision Support Data Science buff.ly/2DMH97T

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MIT Technology Review @techreview

7 years ago

The rare form of machine learning that can spot hackers who have already broken in trib.al/4gRuLaE

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MLOps @MLOps_Org

7 years ago

#MachineLearning tool aims to cut #stress in #clinicalTrial #patients: bit.ly/2yVvKi6 @pharmaphorum

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MLOps @MLOps_Org

7 years ago

#Datascientist at @amazon’s #Alexa #AI division drop skills recommendation error rate by 12% via @VentureBeat ow.ly/wQRG50jGNqc #MachineLearning #datascience #Datascientists

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Ben Lorica 罗瑞卡 @bigdata

7 years ago

Lessons learned while helping enterprises adopt machine learning 📻 a conversation with @frlazzeri and @mathew_jaya @Microsoft goo.gl/kRzV1k

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MLOps @MLOps_Org

7 years ago

How do you stop #machinelearning bias? @sEnterpriseAI discusses how: ow.ly/iJR550jDkS9 #AI #artificialintelligence #datascience

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AI @DeepLearn007

7 years ago

AI and Machine Learning: Building use cases and creating real-life benefits #AI #MachineLearning #DeepLearning #BigData #Fintech #Insurtech #Datascience #ML #DL #HealthTech #IoT #tech zdnet.com/article/ai-and…

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MLOps @MLOps_Org

7 years ago

Why is #DevOps for #datascience (also known as #MLOps) so important? @Forbes explains: ow.ly/oGaN50jBlrT #machinelearning

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AI @DeepLearn007

7 years ago

Interesting Review: Artificial Intelligence in 2018 #AI #MachineLearning #DeepLearning #BigData #Fintech #Insurtech #Marketing #Datascience #ML #DL #Robotics #HealthTech #IoT #tech towardsdatascience.com/review-artific…

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