Posgrado en Ciencias de la Tierra, UNAM

Tema selecto de modelación: Machine Learning

Grupo: T004

Entidad: 72

Act. Académica: 63634

Horario y lugar

Martes 08:00 - 10:00 am, Unidad de Posgrado Aula F-305

Jueves 08:00 - 10:00 am, Unidad de Posgrado Aula B-307

Contacto: [email protected]

Temario y bibliografía completa en español aquí.

This project hosts material for the machine learning in geosciences class.

Related sites for software demonstrations are:

• https://github.com/ageron/handson-ml2
• https://github.com/GeostatsGuy?tab=repositories

• Equinor's Volve Oil & Gas dataset
• West Virginia Geological Survey

• Mathematics and algorithms.

  • Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani. An Introduction to Statistical Learning, with Applications in R.

  • Bishop, Christopher. 2006. Pattern Recognition and Machine Learning. Information Science and Statistics. New York: Springer-Verlag. https://www.springer.com/us/book/9780387310732.

• Software tools. Géron, Aurélien. 2019. Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow. https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/.