The process of evaluating and assessing the performance of Machine Learning (ML) models ... Testing of ML models involves various types of assessments and evaluations to verify the quality and ...

If quality control is to be automated using AI-based image processing, a suitable network and automation concept is required.

With a Master's in Computer Science from Clemson University and extensive experience at leading tech companies, he combines ...

We possess the capability to handle a complete Machine Learning (ML) pipeline involving dataset, model development, optimization, testing, and deployment. We collaborate with organizations to develop ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...