Intro
Monthly seminar with innovative ideas and trends in Data Science applied to industry for undergraduate students.
Official channel:
- YouTube: @UndergraduateDataScience
Highlights
Featured seminar session
Session title
Deep Mutual Information Meets Segmentation by Felipe Felix
This talk introduces a method that improves neural-network segmentation by focusing on the learning objective instead of changing the architecture. Using mutual information as a learning goal, an auxiliary network enhances the information shared between input and output, refining weight updates. The result is better capture of relevant relationships and improved segmentation performance across different object sizes.
- Platform: Microsoft Teams
- Access: Session links are shared through official seminar announcements.
- Related publication: [10.1007/978-3-032-08704-1_22](https://doi.org/10.1007/978-3-032-08704-1_22)
- Related project area: [Research Projects](/pages/research/projects/)
For upcoming sessions and updates, follow the channel and seminar announcements.
Seminar video archive
Use the embedded playlist below to browse previously published videos directly from the website.
Recent uploads
Latest videos from the channel
Seminar objectives
The seminar is designed to expose undergraduate students to current topics in data science, including:
- machine learning foundations
- data ethics and responsible AI
- mathematical and statistical methods
- real-world applications and case studies
Call to action
References
- Official channel: [@UndergraduateDataScience](https://www.youtube.com/@UndergraduateDataScience)
- Main uploads playlist: embedded above in this page
- Program context and related outreach: [Blog](/pages/social/)