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🚀 Completed Week 10 of #MLZoomCamp, exploring: - Kubernetes 🌐 - TensorFlow Serving 🚀 Explore the course materials: github.com/DataTalksClub/mac… #MachineLearningEngineering #Kubernetes #TensorFlowServing 🤖

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2. @SerranoAcademy has an hour-long video on "Machine Learning: Testing and Error Metrics", covering all the topics we discussed in more, in Luis Serrano's exceptionally pedagogical style: (youtube.com/watch?v=aDW44NPh…) #MLZoomCamp #MachineLearning #MachineLearningEngineering
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MLOps is a method based on adapting DevOps practices to machine learning development processes. MLOps is useful in transitioning from running a couple of ML models manually to using ML models in the entire company operation. Overall, MLOps helps to improve delivery time, reduce defects, and make data science more productive. Thus provide the lucrative opportunities for the market growth during the forecast period. Moreover, MLOps is the missing bridge between machine learning, data science, and data engineering. It has emerged as the link that unifies these functions more seamlessly than ever before. MLOps helps professionals and advanced systems to consistently deploy machine learning algorithms and solutions for enhanced productivity and effectiveness. The technology is based on the combination of an operating framework for people and technology, as well as, on an abidance for the best set of practices and proven architectural principles. MLOps is the technology that empower production-level machine learning. Explore More Insight : bit.ly/46g8TM0 #MLOps #MachineLearning #AI #DataOps #DevOps #DataEngineering #MLModelDeployment #ContinuousIntegration #ContinuousDeployment #ModelMonitoring #ModelLifecycle #ModelVersioning #DataPipeline #AIInfrastructure #DataScienceOps #MachineLearningEngineering #MLOpsBestPractices #AutomatedML #AIEngineering #MLOpsCommunit

What is MLOps? 🤔 An ML engineering culture and practice that aims to unify ML system development (Dev) and ML system operation (Ops). Learn how you can accelerate model deployment with MLOps on Google Cloud 🤓 ↓
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Am 15. und 16. September 2022 richtet @MLETUHH1 die MLE-Days aus: Die Konferenz für Maschinelles Lernen im Ingenieurwesen. Infos und Anmeldung unter mle-days.hamburg. #tuhamburg #machinelearningengineering #machinelearninghamburg #aihh #artificialintelligencehamburg
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2 Aug 2022
Die MLE School veranstaltet ein Career Event: mAI-tAI-Mixer - meet AI & talk AI. @aric_hamburg ist dabei. Wir freuen uns schon! mle-school.hamburg/career.ht… #machinelearningengineering #artificalintelligencehamburg #aihh

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4 Jun 2022
#K8-ify the analytics stack: "w/ compute and data in same pod enabled by #DataOrchestration, flexibility of the cloud and #k8s can be leveraged for analytical workloads that operate in a disaggregated stack" #ContainerOrchestration not enough #MachineLearningEngineering #Alluxio
Two Peas in a Pod: Orchestrate Your Cloud Analytics Stack with Open Source bit.ly/30XQlxo @dborkar @Alluxio #MattFuller @starburstdata
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Data scientists and machine learning engineers usually collaborate closely, and both need competent data management skills. Read more 👉 link.dataconomy.com/BDIYG5 #DataScience #MachineLearningEngineering #MachineLearning
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What is the difference between machine learning engineering and a data scientist? Read more 👉 link.dataconomy.com/BDIYG5 #DataScience #MachineLearningEngineering #MachineLearning

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4/22新刊『#機械学習エンジニアリング#マイナビ出版 (978-4-8399-7835-8)#AndriyBurkov (著/文) #松田晃一 (翻訳) ◆「人工知能」棚にて展開中!機械学習の応用、ビジネス上の課題を機械学習を使用して解決したい場合に適切なアドバイスを得ることができる1冊! #MachineLearningENGINEERING
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Math, data science, computer science, computer programming, statistics, or physics are all acceptable bachelor's degrees for machine learning engineering. Read more 👉 link.dataconomy.com/BDIYG5 #DataScience #MachineLearningEngineering #MachineLearning
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Machine learning engineering: The science of building reliable AI systems: link.dataconomy.com/BDIYG5 #DataScience #MachineLearningEngineering #MachineLearning
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21 Feb 2022
One of the best books for learning #MachineLearningEngineering
21 Feb 2022
My book, Machine Learning Engineering with Python, is available below: amazon.co.uk/dp/1801079250 packtpub.com/product/machine…
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29 Sep 2021
We're #hiring! Come reduce global food waste, reduce carbon emissions, and make fresh food more accessible using Reinforcement Learning! #datascience #reinforcementlearning #machinelearning #machinelearningengineering #deeplearning #python #foodwaste linkedin.com/jobs/view/27385…

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13 Sep 2021
So I downloaded #OkCupid data, trained 4 models, and I' now deploying it to my server. Name the domain. #MachineLearning #MachineLEarningEngineering #IHateGirls
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6 Sep 2021
Just preordered my copy of the upcoming Machine Learning Engineering with Python by @ElectricWeegie Hopefully I can convince him to sign it for me! @PacktPub #DataScience #MachineLearning #MachineLearningEngineering
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