MLOps
@MLOps_Org
#MLOps (a compound of “machine learning” and “operationalization”) is the practice of operationalizing and managing the lifecycle of ML in production.
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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
Join Dan Darnell, VP of Product for ParallelM on the DM Radio tomorrow. dmradio.dataversity.net/fintech-revolu…
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…
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.
Your Machine Learning models should be deployed as a microservice. Find out more. #machinelearning #AI #microservices #DevOps parallelm.com/ml-deployed-mi…
ML Ninja Lior Amar provides 6 tips for deploying Python from development to production. parallelm.com/notes-from-an-…
Explainability is different in production. This blog from ParallelM explains how. parallelm.com/a-design-patte…
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
What is the current state of #AI in the #enterprise? @LouisColumbus shares: ow.ly/kHJC50jKp0s via @Forbes #artificialintelligence #machinelearning
.@infoworld: 5 companies share their mistakes (and lessons learned) with #MachineLearning: ow.ly/uryf50jKm8s
Machine Learning in Action: Going Beyond Decision Support Data Science buff.ly/2DMH97T
The rare form of machine learning that can spot hackers who have already broken in trib.al/4gRuLaE
#MachineLearning tool aims to cut #stress in #clinicalTrial #patients: bit.ly/2yVvKi6 @pharmaphorum
#Datascientist at @amazon’s #Alexa #AI division drop skills recommendation error rate by 12% via @VentureBeat ow.ly/wQRG50jGNqc #MachineLearning #datascience #datascientists
Lessons learned while helping enterprises adopt machine learning 📻 a conversation with @frlazzeri and @mathew_jaya @Microsoft goo.gl/kRzV1k
How do you stop #machinelearning bias? @sEnterpriseAI discusses how: ow.ly/iJR550jDkS9 #AI #artificialintelligence #datascience
techtarget.com
What is Machine Learning Bias (AI Bias)? | Definition from TechTarget
Learn what machine learning bias is and how it's introduced into the machine learning process. Examine the types of ML bias as well as how to prevent it.
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…
Why is #DevOps for #datascience (also known as #MLOps) so important? @Forbes explains: ow.ly/oGaN50jBlrT #machinelearning
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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