Seamless ML model deployment using MLaaS The deployment of machine learning models is a critical phase in the data science pipeline, one that has been greatly simplified by the advent of MLaaS.

AWS SageMaker is a fully managed service provided by Amazon Web Services (AWS) that allows developers and data scientists to build, train, and deploy machine learning models at scale. It’s ...

Amazon SageMaker – AWS’ service to help developers build, train and deploy machine learning models – will be put to task by Formula 1’s team of data scientists against more than 65 years of race data.

With these new capabilities, data-savvy team members can build and deploy machine learning models without deep data science expertise.

Safe Pro Surpasses 1,000,000 Drone Images Analyzed Milestone Using Its Novel AI Algorithms & Machine Learning Models on AWS Cloud Advancing Small Object Threat Detection ...

H2O’s APIs allow developers to rapidly innovate and deploy smarter business applications in private and public clouds. Google-scale Prediction APIs enable developers to train and test models on ...

One certification, AWS Certified AI Practitioner, covers the fundamentals of artificial intelligence and machine learning, design considerations, model tuning and more.