Subject Detail
| Sno | Back | regulation | branch | year | semester | subject_code | name | credits | category |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Back | R23AIML | ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML) | 2 | 2 | 23A54401 | Probability & Statistics | 3.0 | Theory |
Syllabus List
| Sno | subject | description | note | syllabus_file | |
|---|---|---|---|---|---|
| 1 | Probability & Statistics - 23A54401 (Theory) | 23A54401 |
|
Link |
Book List
| Sno | subject | title | author | publisher | edition | book_type | book_file | note |
|---|---|---|---|---|---|---|---|---|
| 1 | Probability & Statistics - 23A54401 (Theory) | Probability and Statistics for Engineers | Miller and Freunds | Pearson | 9/e | Textbook | Link | True |
| 2 | Probability & Statistics - 23A54401 (Theory) | Fundamentals of Mathematical Statistics | S.C. Gupta and V.K. Kapoor | 11/e, Sultan Chand & Sons Publications | 2012 | Textbook | Link | True |
| 3 | Probability & Statistics - 23A54401 (Theory) | a First Course in Probability | S. Ross | Pearson Education India | 2002 | Reference | 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 |
|---|