freeCodeCamp at the Ion

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.

Parking Instructions

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.