Subject Detail
| Sno | Back | regulation | branch | year | semester | subject_code | name | credits | category |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Back | R23AIML | ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) | 3 | 2 | 23A31702a | EXPLAINABLE AI &MODEL INTERPRETABILITY | 3.0 | Theory |
Syllabus List
| Sno | subject | description | note | syllabus_file |
|---|
Book List
| Sno | subject | title | author | publisher | edition | book_type | book_file | note |
|---|---|---|---|---|---|---|---|---|
| 1 | EXPLAINABLE AI &MODEL INTERPRETABILITY - 23A31702a (Theory) | Interpretable Machine Learning | Christoph Molnar | Leanpub | None | Textbook | Link | True |
OnlineReference List
| Sno | subject | title | note |
|---|
Question Paper List
| Sno | Subject | Question Paper Type | Date | Title | File |
|---|
Lab List
| Sno | subject | date | title |
|---|