100728 - CGPR - Fundamentals of Machine Learning for Geotechnical Practice
Overview
Over the last 15 years, the use of machine learning (ML) has dramatically increased in many fields of engineering; geotechnical engineering is no exception. With ML utilization expected to continue to increase, this course seeks to provide a guided tour of ML techniques and their strengths and limitations. It will focus on best-practices for developing and evaluating ML models and will cover aspects associated with data management & preparation, model selection, model training, and model evaluation.
The course is divided into two days. Day 1 will include a high-level presentation of ML techniques with an emphasis on best-practices and approaches for users to quantitatively evaluate ML model performance. Day 2 will focus on hands-on activities and is geared toward those interested in the ML model development process. Day 2 activities include data preparation and the development of regression & classification models using ML in a Python programming environment.
Location Information
Virginia Tech CampusBlacksburg, Virginia 24061
Agenda/Schedule
DAY 1
08:30 - 09:00 - Registration (Tea/Coffee)
09:00 - 10:30 - Introduction to ML
10:30 - 10:45 - Morning Break (Tea/Coffee)
10:45 - 12:00 - Model Development Basics
12:00 - 13:00 - Lunch Break (Catered)
13:00 - 14:00 - Data Fundamentals
14:00 - 15:00 - Simple ML Models
15:00 - 15:15 - Afternoon Break (Tea/Coffee)
15:15 - 16:45 - Advanced ML Models
16:45 - 17:00 - Wrap Up
DAY 2
08:30 - 09:00 - Registration (Tea/Coffee)
09:00 - 10:30 - Hands-On Data Wrangling
10:30 - 10:45 - Morning Break (Tea/Coffee)
10:45 - 12:00 - Hands-On Regression Models
12:00 - 13:00 - Lunch Break (Catered)
13:00 - 14:00 - Hands-On Model Tuning
14:00 - 15:00 - Hands-On Classification Models
15:00 - 15:15 - Afternoon Break (Tea/Coffee)
15:15 - 16:40 - Beyond Supervised ML
16:40 - 17:00 - Wrap Up