Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 1 |
Descriptor
Artificial Intelligence | 1 |
Chemistry | 1 |
Classification | 1 |
Electronic Learning | 1 |
Programming | 1 |
Programming Languages | 1 |
Regression (Statistics) | 1 |
Undergraduate Students | 1 |
Visualization | 1 |
Workshops | 1 |
Author
Bringas, Mauro | 1 |
Cohen, Brenda | 1 |
Fiorini, Guillermo | 1 |
Garci´a, Agusti´n Alejo | 1 |
Lafuente, Deborah | 1 |
Morzan, Ezequiel | 1 |
Onna, Diego | 1 |
Publication Type
Journal Articles | 1 |
Reports - Descriptive | 1 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Lafuente, Deborah; Cohen, Brenda; Fiorini, Guillermo; Garci´a, Agusti´n Alejo; Bringas, Mauro; Morzan, Ezequiel; Onna, Diego – Journal of Chemical Education, 2021
Machine learning, a subdomain of artificial intelligence, is a widespread technology that is molding how chemists interact with data. Therefore, it is a relevant skill to incorporate into the toolbox of any chemistry student. This work presents a workshop that introduces machine learning for chemistry students based on a set of Python notebooks…
Descriptors: Undergraduate Students, Chemistry, Electronic Learning, Artificial Intelligence