Description
Our thesis dives deeper into the rise of machine learning and how digital advertising can find target audiences to share independent artists music in a more efficient way. Our goal is to show how effective these tactics are for independent artists looking to start their career in the music industry.
Details
Contributors
- Patrick, Angela Rose (Co-author)
- Fees, Max (Co-author)
- Kinerk, Cole (Co-author)
- Hass, Mark (Thesis director)
- Patrick, Brad (Committee member)
- Dean, W.P. Carey School of Business (Contributor)
- Barrett, The Honors College (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2020-12
Topical Subject
Resource Type
Language
- eng
Additional Information
English
Series
- Academic Year 2020-2021
Extent
- 55 pages