A PaaS offering from Azure that provides full end-to-end control over the Data Science lifecycle, including compute resources, experimentation, model & data registries, deployment and monitoring.
A term coined by Gartner: a person who develops statistical models but whose primary job function is outside the field of statistics. Allow us to get you started on your Data Science journey by registering for our Data Science 101 sessions!
Deep learning is part of a broader family of machine learning methods based on artificial neural networks. Deep learning has enabled us to build statistical models that can detect objects from images, recognize speech, translate languages and much more. Join our AI in a day session to learn more about the intricacies of deep learning!
MLOps is a practice for collaboration and communication between data scientists and operations professionals to help manage production ML lifecycle – from conception to productionization and maintenance