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Published in Applied Stochastic Models in Business and Industry, 2019
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Published in International Journal of Approximate Reasoning, 2019
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Published in AAAI 2019. Student Track, 2019
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Published in Lecture Notes on Computer Science, 2019
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Published in WIREs Computational Statistics, 2020
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Published in Mathematics, 2020
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Published:
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Course, National Statistics Institute, 2019
In 2019, the National Statistics Institute hired some colleagues and myself to teach a course in Practical Machine Learning with R. All the material in spanish (slides and practical excercises) can be found here!
Undergraduate course, Complutense University of Madrid, Statistics and Operations Research Department, 2020
I taught Applications of Stochastic Processes to undergraduates on maths and economics during the spring semesters of years 2019 and 2020. All the material (in spanish) is available here!
Undergraduate course, Complutense University of Madrid, Statistics and Operations Research Department, 2020
I taught a first coure on probability to undergraduates on maths and physics during 2020 winter semester.
Course, Institute of Mathematical Sciences (ICMAT-CSIC), 2021
Slides and labs of our recent course on Bayesian methods in Artificial Intelligence for the JAE school at ICMAT can be found here! Video recordings (in Spanish) are available at ICMAT YouTube Channel.
Course, Institute of Mathematical Sciences (ICMAT-CSIC), 2021
Slides and labs of our recent course on Machine Learning for the JAE school at ICMAT can be found here! Video recordings (in Spanish) are available at ICMAT YouTube Channel.
Undergraduate course, CUNEF University, 2023
I taught an introductory course on Data Science to undergraduates on economics and computer science during the fall semesters of years 2022 and 2023. All the material (in spanish) is available here!
Undergraduate course, CUNEF University, 2023
I taught a Statistics course to undergraduates on mathematical engineering during the fall semester of years 2022.
Course, Repsol Technology Lab, 2023
Check here for an (almost) self-contained crash course on Machine Learning for Molecular Design.