ML Developer Workshop 3: Engineering a Computer Vision Model to Beat Human Level Performance, with Atos | Kisaco Research

During this workshop, attendees will be updated on the state of the art in computer vision use cases and learn how to build deep learning models for segmentation, while improving model performance. Atos' expert host will provide best practices on team organization to facilitate success. Finally, attendees will learn how to implement an engineering strategy - build a project template & data versioning, experiment tracking & feedback, leverage testing & boost model promotion.

Developer workshops are restricted to machine learning practitioners from research institutions and enterprises who are interested in learning how to port code onto novel AI platforms and want to get hands-on access to hardware and SDKs. 

Workshops are application only and subject to eligibility and availability. The workshops are free, and lunch, shared networking sessions, and access to the Meet and Greet function and keynote is included in the developer pass. If you're a machine learning engineer / AI application developer, please apply using the form in the registration section of the website or by emailing [email protected]. There are approximately 30 spaces available.

Session Topics: 
Developer Efficiency
Edge AI
Novel AI Hardware
Sponsor(s): 
Atos
Speaker(s): 

Author:

Patrick Roos

Chief Data Scientist, zData
Atos

Patrick Roos is Chief Data Scientist for Atos zData. Patrick brings nearly two decades of industry and research experience in Data Science and AI, with most of this time spent in the services industry synergizing AI/ML efforts with business needs. His educational background combined with his experience in delivering solutions for a diverse range of start-ups to Fortune 500 companies provide him with the technical, scientific, and business knowledge to successfully leverage analytics technologies to provide business value. As a proven team leader with a pragmatic but thoughtful approach to team management and problem solving, he has led the ideation, scoping, design, and execution of solutions spanning a vast great variety of application domains. Patrick received his PhD and MS in Computer Science in the Artificial Intelligence group at the University of Maryland, College Park, and his BS in Data Science from the College of Charleston.

Patrick Roos

Chief Data Scientist, zData
Atos

Patrick Roos is Chief Data Scientist for Atos zData. Patrick brings nearly two decades of industry and research experience in Data Science and AI, with most of this time spent in the services industry synergizing AI/ML efforts with business needs. His educational background combined with his experience in delivering solutions for a diverse range of start-ups to Fortune 500 companies provide him with the technical, scientific, and business knowledge to successfully leverage analytics technologies to provide business value. As a proven team leader with a pragmatic but thoughtful approach to team management and problem solving, he has led the ideation, scoping, design, and execution of solutions spanning a vast great variety of application domains. Patrick received his PhD and MS in Computer Science in the Artificial Intelligence group at the University of Maryland, College Park, and his BS in Data Science from the College of Charleston.

Session Job Focus: