Houston Business Directory and Events
Machine Learning: From Code to App
Attendees will learn more about machine learning and how it can be applied to build real-world applications. It will be informative and interactive and provide an overview of the industry. Attendees will leave with the necessary knowledge to start their own machine-learning projects.
The presentation will cover the basic concepts and terminology used in machine learning, the typical workflow for a machine learning project, the process of building a machine learning application, popular machine learning frameworks and tools, the process of deploying a machine learning model to a production environment, real-world examples of machine learning applications, the future of machine learning, and more
About the presenter:
Nelson Iheonunekwu is a self-taught and freelance data scientist/ML Scientist/ML Engineer.
Nelson became interested in data science and machine learning while shadowing a radiologist developing software based on natural language processing.
He has since obtained a masters in biomedical sciences and has immersed himself in incorporating machine learning on multiple projects.
Visitor Parking Lot: Enter 4200 Fannin Street into your GPS for directions directly to the visitor parking lot, located in front of The Ion building.
Overflow Parking Instructions: Enter 4203 Fannin Street into your GPS for directions directly to this parking lot, located across the street from The Ion building.