Dates: 11, 13, 18 February 2025 (4 x 2hr sessions)
Time: 14:00-16:00 (UK time) per session
Location: Online
Facilitator: Professor Cédric M. John, Head of Data Science for the Environment and Sustainability at the Digital Environments Research Institute (DERI) at Queen Mary University of London
Are you a geophysicist, petrophysicist, or geologist looking to stay ahead in the rapidly evolving subsurface industry? The “Fundamentals of Data Science and Machine Learning” course is designed specifically for professionals like you. Over four intensive 2-hour sessions, you’ll delve into the core concepts of machine learning, starting with an introduction to the landscape and essential Python tools like Scikit-Learn. Learn how to prepare and preprocess data, understand generalization, and differentiate between parametric and non-parametric models.
Course Outline
- Day 1: General Concepts and Data Preparation
- Day 2: Evaluation Metrics
- Day 3: Optimization in Machine Learning
- Day 4: A deep Dive into Data Modelling
The course is open to GESGB members and non-members.
Full details l KeyFacts Energy Industry Directory: GESGB