Useful info:

• Recordigs of the classes
• Zooom link: 276-644-8345
• Course evaluations are open: https://utk.campuslabs.com/courseeval/

Presentation on Apr 30 (starting at 8:30)

• Applying text mining to detect opinions on climate change: Maria and Emily
• Statistical analysis and some machine learning applications on interpreting Ribisome footprint data : Lu
• Wrapping back on the World of Code and Developer Profiles: Andrey Karnauch
• Daniel

Presentation on Apr 23

• Self-organizing maps and applications in geospatial data: Linsey
• Image Processing: Ethan

Presentation Apr 16

• Tanner: D3

Presentation Apr 9

• Guest presentation by Eduardo: computational aspects of Doc2Vec

Presentations Apr 2

• Jerry: Chaos Monkey
• Self Driving Cars: Shang

Presentations March 26

• Evan: Recommender systems
• Trish: Known Unknowns - testing recommender systems (tentative)

Presentations March 12

• Dustin: SVM & SVR
• Emily: text feature representation (tentative)
• recording

Presentations March 5

• Maria: LDA
• Jessie: big data
• Recording

Presentations Feb 26

• Dakota: Security

Presentations Feb 12

• Andrey: WoC
• Daniel: Optimization

Presentations Feb 4

• Shang: Deep learning for text

Recording of Jan 29 class

• Recording
• lecture
• list of papers
• Advance data analysis see "1.4.1 The Bias-Variance Tradeoff", also Ch 2. The Truth about Linear Regression Ch. 20 Graphical models
• Neo4j
• SVM/SVR

Due Mon Jan 14: Github Pull Request

1. Sign up for GitHub if not already signed up. Pick default (free plan).
2. Fork eveng/students - Start by forking the students repository
3. [Clone][ref-clone] the repository to your computer (git clone https://github.com/yourGHid/students)
4. Introduce yourself via a netid.md file (do not create netid.md, but replace netid by your own netid in all lowercase). Please provide at least one sentence on your background and one full paragraph explaining ether a project you are already working on or a project you'd like to work on for this class.
5. git add netid.md
6. git commit -m 'adding my background information': You may be asked to provide your email and name for the git client if you have not used git before
7. git push
8. Now go to your fork (https://github.com/yourGHid/students) and click on Create Pull Request on students repository

Syllabus and News for CS594/690: Evidence Engineering

• Course: [COSCS-594/690]
• ** MK623 TR 9:40AM-10:55AM (Min Kao 623) **
• Instructor: Audris Mockus, audris@utk.edu office hours MK613 - on request

The primary purpose of the course is to learn-by-doing advanced operational data techniques including:

1. Text analysis, e.g., Word2Vec, GloVe, NMF, LDA, LSTM
2. Image analysis, e.g., RCNN, Mask-RCNN, CAM, ...
3. Network analysis, network databases (neo4j),
4. Advanced data analysis, Graphical models

Each of the techniques will be learned through work on a real project.

Draft Syllabus