Training
Machine Learning In Geophysics:
A practical course
This curriculum is designed to familiarize learners with the fundamentals of machine learning and its practical applications in geophysics.
To provide comprehensive training in Machine Learning geared towards geophysical applications. This curriculum is designed to familiarize learners with the fundamentals of machine learning and its practical applications in geophysics..
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Duration: 27 hours spread out over a period of 2.5 month (flexible based on interests and availability)
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Price per person: USD $1500
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Target Audience: Geophysicists, geologists, data scientists, and students interested in applying machine learning to geophysical data.
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Format: The course will consist of theoretical sessions and hands-on practical exercises, designed to ensure deep understanding and practical know-how.
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Focus Areas: Machine learning, Data analysis, Geophysical applications, Python programming.
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Type or training: Remote (Teams) or in person.
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Maximum number of students: 20
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Languages: Available in English or Spanish
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Software: Python environment (Anaconda, Jupyter Notebooks)
Meet Your Instructor
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Machine Learning Expert
Machine Learning Engineer, with a PhD in Chemical Physics, and half a decade of expansive experience, contributed to critical projects with renowned clients such as AAMI, Allianz, AstraZeneca, and Quest Diagnostics.
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​Recognized for leadership in a groundbreaking project in the CGI Global Innovation Challenge, along with a remarkable authorship of 30+ peer-reviewed scholarly articles. Expert in leveraging large language models (LLMs), natural language processing (NLP), and resource-efficient microservices to devise data-centric solutions that have substantially reduced costs and optimized processes in numerous industrial sectors.
