This course is intended for business and technical professionals involved in strategic decision-making focused on bringing AI into their enterprises. Through the use of a conceptual model called “The AI Ladder”, participants in this course will learn the requirements, terms and concepts associate......

The right path to building a full-stack machine learning system. MLOps is the new emerging practise to streamline managing the ML lifecycle. Why in the world shouldn’t I prioritize building ‘The Perfect Model’?...

PyData NYC 2015 Machine learning has become the key component in building intelligence-infused applications. However, as companies increase the number of such deployments, the number of machine learning models that need to be created, maintained, monitored, tracked, and improved grow at a tremen......

PyData SF 2016 Ramesh Sampath | Build Data Apps by Deploying ML Models as API Services As data scientists, we love building models using IPython Notebooks / Scikit-Learn / Pandas eco-system. But integrating these models with an web app can be a challenge. In this tutorial, we will take our machi......