The course aims to provide upstream professionals with a comprehensive introduction to the main machine learning methods and builds hands-on experience in data science and machine learning.
Through the course, you will develop a solid understanding of supervised and unsupervised learning algorithms including advanced topics such as deep learning and machine learning models explainability.
The course is designed to build up your confidence from scratch: starting with an introduction of each method in simple terms, followed by detailed guidelines on how to apply different machine learning methods for solving actual problems from reservoir engineering, geo-modelling, and petrophysics. The knowledge obtained from the course - in combination with carefully designed code examples - can be applied by the participants in ongoing and future projects, thus increasing their overall performance.
Course Structure: 10 modules of max. 4 hours each, delivered over 5 weeks (2 days per week)
Detailed Course Schedule:
- Week 1: March 4-5, 2021 (Thursday – Friday)
- Week 2: March 11-12, 2021 (Thursday – Friday)
- Week 3: March 18-19, 2021 (Thursday – Friday)
- Week 4: March 25-26, 2021(Thursday – Friday)
- Week 5: March 29-30, 2021 (Monday - Tuesday)
- Course Hours: 08:00 am - 12:00 pm CET
Course Level: Skill
Duration: 10 days
Instructor: Vitali Molchan