Hosts: Prof. Michael Pyrcz and Prof. John Foster
Architects: Honggen Jo and Mingyuan Yang
Sponsor: Prof. Jon Olson, and the Hildebrand Department of Petroleum and Geosystems Engineering
Here's the content for the first day workshop.
8 am – 8:15 am: Hackathon Welcome, Introduction and Review Plan and Rules – Prof. Olson / Prof. Pyrcz
8:15-10 am: Essential Energy Data Science, Numpy, Pandas, Git – Prof. Foster
10 – 11:30 am: Feature Importance, Engineering and Selection, Multivariate Analysis and Shapley Values – Prof. Pyrcz
11:30 am – 12:30 am: Lunch Break
12:30 – 1:30 pm: Machine Learning Basics, Train and Tune Overview of Methods – Prof. Pyrcz
1:30 – 2:30 pm: Machine Learning in Python, scikit-learn and TensorFlow Packages – Prof. Foster
2:30 – 3:30: Model QC, Uncertainty Modeling and Checking – Prof. Pyrcz
3:30 – 4:30: Introduce the Energy A.I. Hackathon Problem and Mystery Data Set – Prof. Pyrcz / Prof. Foster
4:30 - : Teams Break-out for Initial Data Review and Planning