The session will cover using adaptive learning with PandioML to connect to data, feed it into a pipeline, train the model, perform inference, deploy to production on the Pandio.com platform, and perform drift detection on the production model. The data used and model trained is subject to change, but will be something along the lines of extracting reviews from the web (Yelp), creating a risk model, then detecting when the data drifts to reset the model.
Joshua is the CTO at Pandio and an expert in front-end and back-end software engineering with PHP, JavaScript, Ruby, Python, HTML, CSS, Apache Pulsar, BookKeeper, Zookeeper, MySQL, PostgreSQL, MongoDB, Presto, and Redis. He is a full-stack engineer with tons of experience in dev ops, data science, distributed systems, machine learning, artificial intelligence, leadership, project management, and product management.
Joshua is currently focusing on building a data-driven future of Pandio.