- Level Professional
- Duration 3 hours
- Course by University of Glasgow
-
Offered by
About
This course is a capstone assignment requiring you to apply the knowledge and skill you have learnt throughout the specialization. In this course you will choose one of the areas and complete the assignment to pass.Modules
IMOPORTANT COURSE INFORMATION
1
Readings
- IMPORTANT COURSE INFORMATION
Permutation feature importance on the MIMIC critical care database
2
Readings
- Interpretability of in-hospital mortality classification using Permutation Feature Importance and logistic regression
- Interpretability of in-hospital mortality classification using Permutation Feature Importance and an LSTM model
Quiz
1
Assignment
- Permutation feature importance on the MIMIC critical care database
LIME on the MIMIC critical care database
2
Readings
- Interpretability of in-hospital mortality classification using LIME and logistic regression
- Interpretability of in-hospital mortality classification using LIME and an LSTM
Quiz
1
Assignment
- LIME on the MIMIC critical care database
Grad-CAM on the MIMIC critical care database
1
Readings
- Interpretability of in-hospital mortality classification using Gradient-weighted Class Activation Mapping and an LSTM model
Quiz
1
Assignment
- Grad-CAM on the MIMIC critical care database
Auto Summary
This professional-level capstone course in Data Science & AI, offered by Coursera, challenges you to apply the skills and knowledge acquired throughout the specialization. With a duration of 180 hours, you'll complete an assignment in your chosen area to pass. Subscription options include Starter, Professional, and Paid, catering to dedicated learners ready to demonstrate their expertise.

Instructor
Fani Deligianni