Introduction to Machine Learning with an End-to-End Project
Contributor
University of Central Florida. Faculty Center for Teaching and Learning; University of Central Florida. Division of Digital Learning; Teaching and Learning with AI Conference (2023 : Orlando, Fla.)
Location
Cape Florida B
Start Date
25-9-2023 1:45 PM
End Date
25-9-2023 2:00 PM
Publisher
University of Central Florida Libraries
Keywords:
Data collection; End-to-end project; Machine learning applications; Theoretical concepts; Practical implementation
Subjects
Machine learning--Study and teaching; Machine learning; Machine learning--Industrial applications; Machine learning--Experiments; Machine learning--Evaluation
Description
Machine learning (ML) courses are of paramount importance in today’s fast-paced digital age. These courses equip individuals with the skills and knowledge necessary to harness the power of data and build intelligent systems. This presentation will offer an example of an end-to-end machine learning project for a multitude of data modalities and applications. The project proposal includes a data collection protocol and an example script to compile custom datasets. This project will enhance students’ understanding of the theoretical ML content with an engaging and practical end-to-end project.
Language
eng
Type
Presentation
Rights Statement
All Rights Reserved
Audience
Students, Faculty, Educators
Recommended Citation
Silva, Catia, "Introduction to Machine Learning with an End-to-End Project" (2023). Teaching and Learning with AI Conference Presentations. 52.
https://stars.library.ucf.edu/teachwithai/2023/monday/52
Introduction to Machine Learning with an End-to-End Project
Cape Florida B
Machine learning (ML) courses are of paramount importance in today’s fast-paced digital age. These courses equip individuals with the skills and knowledge necessary to harness the power of data and build intelligent systems. This presentation will offer an example of an end-to-end machine learning project for a multitude of data modalities and applications. The project proposal includes a data collection protocol and an example script to compile custom datasets. This project will enhance students’ understanding of the theoretical ML content with an engaging and practical end-to-end project.
Accessibility Statement
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