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

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Sep 25th, 1:45 PM Sep 25th, 2:00 PM

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.