Machine Learning is a form of Ai that enables a system to learn from data rather than through explicit programming. However, machine learning is not a simple process. As the algorithms ingest training data, it is then possible to produce more precise models based on that data. A machine-learning model is the output generated when you train your machine-learning algorithm with data.
This webinar will focus on data collection and using machine learning to provide information to users and leaders. Data sets from Alabama Department of Public Health, local restaurants and the Montgomery Open Data Portal will be used to show machine learning models. This informative session will demonstrate how machine learning, artificial intelligence and data modeling tools can be used in providing useful information to decision makers and the community.
Zach Lewis is an experienced software engineer with Clarity Innovations with a breadth of knowledge in software programming, application development, data science and information assurance. Zach also leads a diverse group of technologists with the Montgomery Facebook Developers Group, a local forum for developers building on the Facebook platform to interact with the Facebook team and other developers.
Webinar link will be sent via email prior to the event.
