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Applied Machine Learning And Data Science For Upstream Professionals

21st February 2022 - 24th February 2022

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Why Choose this Training Course

This highly practical 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.

Who Should Attend

  • A reservoir engineer, geologist or petrophysicist, and keen to obtain a fundamental understanding and practical knowledge on scientific programming, data science and machine learning
  • Participants should have strong upstream domain knowledge with a minimum of 5 years experience
  • Prior programming experience (Python) is of advantage. Recommended pre-reading material on Python can be provided upon request.

Key Learning Objectives

  • Core concepts of machine learning and data science
  • Identifying existing bottlenecks for machine learning methods application in your professional domain
  • Choosing the most appropriate machine learning methods to solve a particular problem
  • Applying the main machine learning methods in practice

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21st February 2022
24th February 2022
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