#machine learning
- Machine learning Short summarized contents SVD (Singular Value Decomposition) is a fundamental concept in linear algebra and has numerous applications in various fields. Here’s a brie... 4
- 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... 1
- 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 1
- 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 : 1
- 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
- A Thread to understand ML concepts – AI/DS/ML Hebb Network Hebbian learning ek classic concept hai neural networks mein. Iska naam uske developer Donald Hebb ke naam par rakha gaya hai.... 1
- Given data = { 2, 3, 4, 5, 6, 7 ; 1, 5, 3, 6, 7, 8 }.Compute the principal component Solution : data = { 2, 3, 4, 5, 6, 7 ; 1, 5, 3, 6, 7, 8 }.Compute the principal component using PCA Algorithm. 1
- What is the curse of dimensionality? What are the Feature Handling the high-dimensional data is very difficult in practice, commonly known as the curse of dimensionality. If the dimensionality of th... 1
- Draw a block diagram of the Error Back Propagation Algorithm The Error Back Propagation Algorithm, commonly referred to as Backpropagation, is a fundamental algorithm used for training artificial neura... 1
- Draw Delta Learning Rule (LMS-Widrow Hoff) model and explain it with a training process flowchart. 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
- Explain the Perceptron Neural Network A perceptron is one of the earliest and most basic types of artificial neural networks. It was introduced by Frank Rosenblatt in 1957 and is... 1
- Design a Hebb net to implement OR function (consider bipolar inputs and targets) Hebb Net to Implement OR Function Introduction: A Hebb net is a type of artificial neural network that can be used to implement simple logic... 1
- Compare Supervised and unsupervised learning Feature Supervised Learning Unsupervised Learning Definition A type of machine learning where the model learns from labeled data, meaning th... 1