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#highlycitedpaper An Improved Inspection Process and Machine-Learning-Assisted Bridge Condition Prediction Model, by Jingang Fang et al. 🔗 Read at: brnw.ch/21wYjuk #BridgeMaintenance #MachineLearningEngineering #InfrastructureMonitoring #StructuralHealthPrediction

Buildings_MDPI's tweet image. #highlycitedpaper

An Improved Inspection Process and Machine-Learning-Assisted Bridge Condition Prediction Model, by Jingang Fang et al.

🔗 Read at: brnw.ch/21wYjuk

#BridgeMaintenance #MachineLearningEngineering #InfrastructureMonitoring #StructuralHealthPrediction

Skills Needed to Become a Machine Learning Engineer! In the UK, machine learning engineer salaries can reach well over £100,000. Read here➡️ow.ly/KhkV50X5q8e #HexwiredRecruitment #MachineLearningEngineering #AITech #TechRecruitmentAgency

hexwired's tweet image. Skills Needed to Become a Machine Learning Engineer!

In the UK, machine learning engineer salaries can reach well over £100,000. 

Read here➡️ow.ly/KhkV50X5q8e 

#HexwiredRecruitment #MachineLearningEngineering #AITech #TechRecruitmentAgency

As part of the requirements for our final project in #mlopszoomcamp, we were required to review the projects of 3 of our peers in the course. This is a great way to practice your reviwing skills, as well as learn from the work of others. #MachineLearningEngineering #MLOps


As the final challenge in #mlopszoomcamp, we had to implement a project using everything we learned in the course #MLOps #MachineLearningEngineering #MachineLearning


We used @EvidentlyAI to monitor models, along with @grafana for dashboards and @PrefectIO for workflow orchestration. Together, they formed our light yet powerful monitoring system. #mlopszoomcamp #MLOPs #MachineLearningEngineering


We also discussed how to deploy a streaming model using Kinesis, SQS, and Lambda from Amazon Web Services (AWS). #mlopszoomcamp #MLOPs #MachineLearningEngineering


Week 4 of #mlopszoomcamp discussed deployment. We looked at 3 different ways of deploying models and how to work with them. #MLOPs #MachineLearningEngineering #MachineLearning


Next up - module 4 on model deployment, where we will learn three different ways to deploy our models. Looking forward to it! #mlopszoomcamp #MachineLearning #MachineLearningEngineering


For the homework for module 3, we continued with the running example of NYC Taxi Trip Data (nyc.gov/site/tlc/index…), using MLflow and Prefect (or any other orchestrator) together to create a simple training pipeline. #mlopszoomcamp #MachineLearning #MachineLearningEngineering


MLflow and Prefect combine well. Prefect automates, schedules & monitors tasks, while MLflow tracks experiments & manages models. Together, they help us run ML pipelines in a reproducible and automated manner. #mlopszoomcamp #MachineLearningEngineering #MachineLearning


Backend Development vs. Machine Learning Engineering – Two distinct roles, one digital ecosystem. Both are essential pillars of modern tech infrastructure. #BackendDevelopment #MachineLearningEngineering #TechRoles #SoftwareDevelopment #AI #DigitalTransformation


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