Abstract: Machine learning is the discipline in computer science which facilitates the ability of a machine to improve its performance based on previous results. This talk will cover the design and implementation of two popular machine learning algorithms in C#. The first algorithm is the popular supervised algorithm called the Perceptron Algorithm a type of artificial neural network. The second part will cover the popular unsupervised KMeans algorithm for cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean.
Jan 19th – Machine Learning Algorithms in .NET w/ Seth Juarez
About the Presenter:
Seth Juarez has a Master’s Degree in Computer Science and is also currently pursuing a PhD in the same. His field of research is in Artificial Intelligence specifically in the realm of Machine Learning. He is a Technical Evangelist for DevExpress where he specializes in data analysis in conjunction with their reporting toolset. When he is not working in that area, he devotes his time to an open source Machine Learning Library specifically for .NET that is intended to simplify the use of popular supervised and unsupervised learning models.
This is a Green Dot sponsored event. There is no entry fee and the event is free for attendees.