Kevin Kyeong

The third wave of cloud computing is here and advancements in the field of machine learning are being made every day. In this era of ever-evolving technology, there are a plethora of resources available to machine learning practitioners for handling their data and models. In this talk, we will focus on training and deployment of machine learning models in the cloud, in particular, Google Cloud Platform. We will touch upon the use of Google Cloud Machine Learning Engine and the workflow associated with the product. Throughout the talk, we will go from writing TensorFlow code to uploading the code to the cloud for training and to deploying the trained model.

Kevin is a technology evangelist and enthusiast who envisions commuting on a multirotor hoverboard guided by his virtual assistant. Having studied at the University of Waterloo in Canada, he built and raced solar cars in the outback of Australia. After reaching the 10,000-hour rule in development of electric vehicles, he has pivoted his career to software development in the field of artificial intelligence. His current interest lies in widespread applications of deep learning in the cloud. Today, Kevin works at Berge as both a machine learning practitioner and a cloud strategy consultant in an array of industries.