All questions
- Can you make one for DC as well Distribution computing
- Write an ALP for 8086 to arrange 10 numbers in ascending order DATA SEGMENT STRING1 DB 99H, 12H, 56H, 45H, 36H, 78H, 34H, 23H, 67H, 89H DATA ENDS CODE SEGMENT ASSUME CS:CODE, DS:DATA START: MOV AX, DATA... 1
- Explain the Perceptron model with Bias The perceptron model with bias is a fundamental building block of artificial neural networks, particularly in the realm of supervised learni... 1
- How to calculate Performance Measures by Measuring the Quality of a model. Performance measures are essential in evaluating the quality and effectiveness of a machine learning model. Different performance measures a... 2
- Diagonalize the matrix A 1 5 4 2 solution : You can follow the previois similar numericals for the step : /q/diagonalize-matrix-2-2-1-3/ You can use calculator to check/veri... 1
- Find a linear regression equation for the following two sets of data: [10] Solution : cc : ai-ds:mu grp 2
- Draw the Delta Learning Rule (LMS-Widrow Hoff) model The Delta Learning Rule, also known as the LMS (Least Mean Squares) algorithm or the Widrow-Hoff rule, is a method for adjusting the weights... 1
- Diagonalize the matrix A : 2 2 1 3 solution : 2
- The values of the independent variable ( X ) and the dependent variable ( Y ) are given below: Step 1: X Y XY X² 0 2 0 0 1 3 3 1 2 5 10 4 3 4 12 9 4 6 24 16 Summations: Sum of X (ΣX) = 0 + 1 + 2 + 3 + 4 = 10 Sum of Y (ΣY) = 2 + 3 + 5 +... 1
- Least Square Regression for classification Least squares regression aims to minimize the sum of the squared differences between observed and predicted values. For classification, the... 1
- Explain overfitting and underfitting with examples Underfitting in Machine Learning Underfitting occurs when a statistical model or machine learning algorithm is too simple to capture the com... 2
- Machine Learning Important Questions [repeated question’s] Machine Learning concepts and applications Supervised vs. unsupervised learning Neural networks: types, architectures, and comparison with b... 1
- What is Image Transform? What are the significance of Image Transform An image transform represents an image as a weighted sum of basis images (e.g. cosines, sinusoids, ±1 patterns), converting it from the spat... 1
- Explain Vector Quantization (VQ) with example Vector quantization (VQ) is a lossy compression method that groups samples into blocks (vectors), and replaces each vector by the index of t... 1
- Calculate DFT for following 4×4 image
- Derive the equation of contrast stretching transformation function as given below.
- Write derivation for Sobel Edge detection operator. What is the advantage of Sobel operator? The Sobel operator approximates the image gradient by combining a central difference in one direction with a [1 2 1] smoothing in the perpen... 1
- What is meant by an image histogram. Perform Histogram Equalization on a given data.
- The best filter for removing salt and pepper noise from an image is median filter. True: salt-and-pepper noise consists of isolated pixels with extreme values (0 or 255); a median filter replaces each pixel by the middle va... 1
- Write short note on fast hadamard transform Definition The Fast Hadamard Transform (FHT) is an efficient algorithm used to compute the Hadamard Transform of a signal. The Hadamard Tran... 1
- 3 a Find DFT of the given image using DIT-FFT. DFT of the image: F = beginbmatrix33 & -7 & 1 & -7\\ -9 & -1 & -1 & -1\\ 1 & 1 & 1 & 1\\ -9 & -1 & -1 & -1endbmatrix The 2-D DFT is separabl... 1
- Q1 b State and Explain properties of FFT. [5] The FFT computes the DFT efficiently by using two properties of the twiddle factor W_N = e^(-j2π/N) , symmetry and periodicity; the transfor... 1
- Equalize the given histogram Answer :: 1
- Find the DCT of the given sequence. f(x)= {1,2,4.7} Taking the sequence as f(x) = 1, 2, 4, 7, the DCT is C(u) = 7, −4.461, 1, −0.317. (The "4.7" in the question is read as "4, 7", giving a 4-p... 1