TIEA389 Introduction to Cognitive Computing (1–3 cr)
For a one (1) credit:
IBM's Cognitive Computing MOOC:
course and lecture diary.
Lecture 1: Introduction to IBM Watson
Lecture 2: Deep Question Answering Architecture
Lecture 3: Semantic Integration and Machine Learning
Lecture 4: Natural Language Processing
Lecture 5: UIMA in IBM Watson
Lecture 6: Structured Knowledge in IBM Watson
Lecture 7: Domain Adaptation Methodology
Lecture 8: Distributional Semantics
Epilogue - The Watson Ecosystem and IBM Watson into the Future
For + two (+2) credits
Self / group assignment:
In group: Build up "cognitive computing" application using IBM Bluemix service, make a written report and demonstrate your application on December.
Self: You will have reading material, which explains working principles of Watson Jeopardy application. Based on this material write on essay approx. 10 pages how you build question-answer machine to some existing material. For example:" Turning Stackoverflow to Watson application".
Lecture diary + assigment. (Pass/Fail)
- Data mining
- Introduction to feed-forward neural networks
- Signal processing
- Artificial intelligence