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CTR Seminar Series – Machine Learning
March 12, 2020
The Great Plains IDeA-CTR Presents:
Statistical Machine Learning: Building & Evaluating Data-Driven Prediction Models
Thursday, March 12, 2020 | 12:00-1:00 PM
Location: University of Nebraska at Omaha
Peter Kiewit Institute (PKI), Room 158
Scott Campus – 1110 S. 67th Street
Christian Haas, PhD
Dr. Christian Haas is an Assistant Professor at the College of Information Science and Technology at UNO.His research applies machine learning approaches to data-driven decision making, specifically focusing on heuristic optimization, statistical machine learning, and algorithmic fairness. He leads an industry project on ML for recommender systems and is a member of several other machine learning related projects. He teaches undergraduate and graduate classes in data analytics and statistical machine learning. Prior to his position at UNO, Dr. Haas worked as a Senior Data Scientist at IBM Germany where he conducted data analytics projects for a variety of industries.
Event Description:
Data Analytics, Machine Learning, Data Science –different terms are often used to describe the process of developing data-driven models for inference or prediction. The underlying technical models are often categorized into different subsets, including Regression, Classification, and Clustering. This talk will give an overview of the main concepts of (Statistical) Machine Learning and will cover:
- Overview of the main types of machine learning models and their
applications - Evaluation of ML models –Metrics and other considerations
- Further topics: Black-box vs explainable models, algorithmic fairness, etc.
Join via Zoom:
https://unomaha.zoom.us/j/759759415
Trouble viewing? Call 402-559-8090