Blog All Machine Learning Business Analysis Consultancy Artificial Intelligence DevOps Solutions Architect Delivery Manager Rozwój w PGS Data science Cloud Software Development Quality Assurance Design News Events AWS machine learning pasje naszych ludzi By Deep Racer to Las Vegas AWS DeepRacer League is a global race where programmable DeepRacers, i.e. autonomous vehicles created by Amazon Web Services (AWS), compete for the title of the fastest. The winner is the first one to learn to overcome obstacles faced along the route. Can you get to Las Vegas by this vehicle? It turns out you can. data machine learning manufacturing Mesh Twin Learning Top 5 Reasons To Use Mesh Twin Learning in Your Smart Factory All the world’s talking about Digital Twin – but let’s think a little further ahead than that. Digital Twin is just the first step, not the end destination. Mesh Twin Learning is the next phase – so let’s explore that and provide a number of key benefits that MTL is… AI machine learning ML MLOps More Effective Machine Learning Production with MLOps Machine Learning is slowly starting to mature as a field, but many businesses are still facing tough upfront challenges. While there are a huge (and increasing) amount of new algorithms, neural network architectures and libraries, practical deployments are still in the toddler phase. However, there’s plenty of new hope for… data data engineering Digital Twin machine learning manufacturing Mesh Twin Learning Digital Twin: The First Step To Industry 4.0 In one of our recent posts, we introduced the Mesh Twin Learning (MTL) concept, which uses modern technologies to give industrial companies a competitive advantage by introducing micro-optimisations and sharing learned successes across the organisation. MTL is pretty advanced concept, though. It requires data from IoT sensors, the creation of… azure Cloud machine learning MLflow MLflow: Tracking ML Model Changes & Deployment in Azure In this post, we’ll cover tracking changes, as well as comparing and tracking the deployment of Machine Learning models using MLflow library. We’ll later set up resources in the Azure Cloud so we can provision our model, as well as create the Azure DevOps pipeline to deploy a new model… Search Try typing at least two letters. Try typing at least two letters. Popular posts By Deep Racer to Las Vegas Top 5 Reasons To Use Mesh Twin Learning in Your Smart Factory More Effective Machine Learning Production with MLOps Digital Twin: The First Step To Industry 4.0 <12
