Readings
For this module, choose one or more materials directly related to the module’s topic. You may select materials from the course reading list or use relevant materials found elsewhere.
As a general guide, read one or more articles or other written materials totaling approximately 10,000–12,000 words, listen to or watch at least 90 minutes of podcasts or videos, or complete a comparable combination of written and audiovisual materials. You may engage with additional materials.
Please submit all graded work via Canvas. Participation requirements and grading details are provided in Canvas.
Suggested Materials
- Martin Frické, Artificial Intelligence: Foundations of Computational Agents, Chapters 3, 8, 9
- Why Computer Vision Is a Hard Problem for AI
- AI unlocks ancient Dead Sea Scrolls mystery
- Digitizing the paper of record: Archiving digital newspapers at the New York Times
- Managing the risks of inevitably biased visual artificial intelligence systems
- Computer Vision Tagging the Metropolitan Museum of Art’s Collection: A Comparison of Three Systems
- Unmasking the bias in facial recognition algorithms
- Simplilearn: Natural Language Processing In 10 Minutes
- GeeksforGeeks: Natural Language Processing (NLP) Tutorial
- GeeksforGeeks: Named Entity Recognition
- GeeksforGeeks: What is Sentiment Analysis?
- HathiTrust - Text and data mining resources
- HathiTrust - How to Use HathiTrust Data Resources
- Text & Data Mining resources @ UK Library
- Topic Modeling and Digital Humanities
- ProQuest’s TDM Studio
- Google - Recommendation systems overview