User contributions for Aghodsib
Jump to navigation
Jump to search
24 March 2025
- 11:1311:13, 24 March 2025 diff hist +1 N stat940W25-presentation Created page with "a"
- 11:1311:13, 24 March 2025 diff hist +80 main Page No edit summary current
27 February 2025
- 17:2517:25, 27 February 2025 diff hist −36 stat946W25 No edit summary
- 17:2517:25, 27 February 2025 diff hist −105 stat946W25 No edit summary
- 17:2517:25, 27 February 2025 diff hist +138 stat946W25 No edit summary
- 17:2317:23, 27 February 2025 diff hist +1 stat946W25 No edit summary
- 17:2317:23, 27 February 2025 diff hist +1 stat946W25 No edit summary
- 17:2317:23, 27 February 2025 diff hist +1 stat946W25 No edit summary
- 17:2317:23, 27 February 2025 diff hist −167 stat946W25 No edit summary
- 17:1817:18, 27 February 2025 diff hist −76 stat946W25 →Record your contributions here [https://docs.google.com/spreadsheets/d/19KrMDskNp1S4Ze6QcZjePL2zV-tux0YghhhKCYJNqeE/edit?usp=sharing]
- 17:1017:10, 27 February 2025 diff hist 0 stat946W25 No edit summary
- 16:5716:57, 27 February 2025 diff hist +535 stat946W25 No edit summary
- 16:5416:54, 27 February 2025 diff hist +34 N stat946W25 Created page with "==Topic 12: State Space Models== "
- 16:5216:52, 27 February 2025 diff hist +11 main Page No edit summary
- 16:5116:51, 27 February 2025 diff hist −7 main Page No edit summary
- 16:5116:51, 27 February 2025 diff hist +69 main Page No edit summary
15 January 2025
- 10:4510:45, 15 January 2025 diff hist +2 stat940W25 →Step 4: Conclusion
- 10:4410:44, 15 January 2025 diff hist −316 stat940W25 →Step 4: Conclusion
- 10:4310:43, 15 January 2025 diff hist −24 stat940W25 →Solution
- 10:4310:43, 15 January 2025 diff hist −25 stat940W25 →Question
- 10:4310:43, 15 January 2025 diff hist +100 stat940W25 →Step 4: Conclusion
- 10:4110:41, 15 January 2025 diff hist 0 stat940W25 →Step 4: Conclusion
- 10:3910:39, 15 January 2025 diff hist +3 stat940W25 →Step 4: Conclusion
- 10:3810:38, 15 January 2025 diff hist +5 stat940W25 →Step 4: Conclusion
- 10:3710:37, 15 January 2025 diff hist +6 stat940W25 →Step 4: Conclusion
- 10:3610:36, 15 January 2025 diff hist +107 stat940W25 →Step 4: Conclusion
- 10:3310:33, 15 January 2025 diff hist +34 stat940W25 No edit summary
- 10:3110:31, 15 January 2025 diff hist +540 stat940W25 →Exercise 2.1
13 January 2025
- 16:2016:20, 13 January 2025 diff hist +14 stat940W25 →Exercise 1.1
- 16:2016:20, 13 January 2025 diff hist +2 stat940W25 →Proof
- 16:1916:19, 13 January 2025 diff hist −18 stat940W25 →Exercise 1.1
- 16:1816:18, 13 January 2025 diff hist −91 stat940W25 →Exercise 1.1
- 16:1616:16, 13 January 2025 diff hist +6 stat940W25 →Notes on Exercises
- 16:1416:14, 13 January 2025 diff hist +61 stat940W25 →Exercise 1.1
- 16:1316:13, 13 January 2025 diff hist −1 stat940W25 →Exercise 1.1
- 16:0616:06, 13 January 2025 diff hist +456 stat940W25 No edit summary
12 January 2025
- 23:1223:12, 12 January 2025 diff hist +4,479 stat940W25 No edit summary
- 23:1123:11, 12 January 2025 diff hist +100,752 stat940W25 No edit summary Tag: Manual revert
- 23:0723:07, 12 January 2025 diff hist −9 stat940W25 No edit summary Tag: Reverted
- 23:0723:07, 12 January 2025 diff hist +13 stat940W25 No edit summary Tag: Reverted
- 23:0423:04, 12 January 2025 diff hist +550 stat940W25 No edit summary Tag: Reverted
- 23:0123:01, 12 January 2025 diff hist +4 stat940W25 No edit summary Tag: Reverted
- 23:0023:00, 12 January 2025 diff hist −6 stat940W25 No edit summary Tag: Reverted
- 22:5922:59, 12 January 2025 diff hist +48 stat940W25 No edit summary Tag: Reverted
- 22:5822:58, 12 January 2025 diff hist +8 stat940W25 No edit summary Tag: Reverted
- 22:5622:56, 12 January 2025 diff hist −104,967 stat940W25 Replaced content with " == Lecture 1: Perceptron == <div style="border: 2px solid #0073e6; background-color: #f0f8ff; padding: 10px; margin: 10px 0; border-radius: 5px;"> <b>Exercise:</b> == Question == Prove that the Perceptron Learning Algorithm converges in a finite number of steps if the dataset is linearly separable. '''Hint:''' Assume that the dataset \( \{(\mathbf{x}_i, y_i)\}_{i=1}^N \) is linearly separable, where \( \mathbf{x}_i \in \mathbb{R}^d \) are the input vectors, and \..." Tags: Replaced Reverted
- 22:5322:53, 12 January 2025 diff hist +3,375 stat940W25 →Lecture 1: Perceptron Tag: Reverted
- 22:5322:53, 12 January 2025 diff hist +27 stat940W25 No edit summary Tag: Reverted
- 22:4722:47, 12 January 2025 diff hist +37 stat940W25 No edit summary Tag: Reverted
- 22:4122:41, 12 January 2025 diff hist +20 N Template:ExerciseTemplate Created page with "this is an excersise" current