Russell, B. H., 2021, Polynomial Regression using Python : CREWES Webinar, 22.
Guarido, M., Trad, D. O., Emery, D. J., and Russell, B. H., 2021, Steam Optimization in R (a Xeek Competition) : CREWES Webinar, 21.
Emery, D. J., Guarido, M., and Trad, D. O., 2021, XGB Lithology Classification Lessons Learned from Force 2020 ML Competition : CREWES Webinar, 20.
Mardani, R., Guarido, M., Trad, D. O., and Emery, D. J., 2021, Neural Networks (Shallow/Deep Learning) From Scratch in Python With Geoscience Examples: CREWES Webinar, 19.
Huang, S., Woźniakowska, P., Guarido, M., Trad, D. O., and Emery, D. J., 2021, Long-Short Term Memory (LSTM) as a Machine Learning Algorithm for Seismic Inversion: CREWES Webinar, 18.
Niu, Z., Guarido, M., Trad, D. O., and Emery, D. J., 2021, Deep Learning with U-Net to Perform Seismic Inversion: CREWES Webinar, 17.
Zhuang, K., Guarido, M., Trad, D. O., and Emery, D. J., 2021, Seismic Data Engineering for Machine Learning Inversion: CREWES Webinar, 16.
Qu, L., Guarido, M., Trad, D. O., and Emery, D. J., 2021, Data Imputation of Well Logs using Regression Models - Geophysics in the Cloud Competition: CREWES Webinar, 15.
Amundaray, N., Guarido, M., Trad, D. O., and Emery, D. J., 2021, Clustering Models Applied to the Energy Sector - Part 3: CREWES Webinar, 14.
Guarido, M., Trad, D. O., and Emery, D. J., 2021, Clustering Models Applied to the Energy Sector - Part 2: CREWES Webinar, 13.
Guarido, M., Trad, D. O., and Emery, D. J., 2021, Clustering Models Applied to the Energy Sector - Part 1: CREWES Webinar, 12.
Guarido, M., Trad, D. O., and Emery, D. J., 2021, Using Hybrid Machine Learning Models: CREWES Webinar, 11.
Guarido, M., and Trad, D. O., 2021, An Overview of Machine Learning Applications on the Energy Sector: CREWES Webinar, 10.