Agile Innovation Coach, Trainer, Facilitator

Building Machine Learning Products in an Agile Way 


Agile and continuous delivery are common practices in software development industry for years. How about agility in data-driven products? In the recent years, machine learning products are popular and companies build data-driven products. In a classical agile development, builds, tests and deployments are automated so that companies deploy applications multiple times a day. While building a machine learning model, training and validation phase is also included in the development lifecycle. In this session, Yalçın Yenigün will talk about how to train, validate and deploy machine learning models multiple times a day. He will also talk about his experience in İyzico about the methodologies of building a continuous delivery pipeline for machine learning models.