What do you understand by Eigenvectors and Eigenvalues?
Answer / Ahmad Ashraf
Eigenvectors and Eigenvalues are concepts used in linear algebra that arise from solving the eigenvalue equation of a square matrix A. An Eigenvector is a non-zero vector that, when multiplied by a square matrix A, results in a scalar multiple of itself, called the Eigenvalue. The set of Eigenvectors forms an orthogonal basis for the space spanned by the original vectors.
| Is This Answer Correct ? | 0 Yes | 0 No |
Explain the Genetic Programming in Machine Learning?
What is batch size machine learning?
Explain the benefit of naive bayes in machine learning?
What is the difference between artificial learning and machine learning?
What is a recommendation system?
Explain the different types of classifiers?
What is batch normalization?
Explain what are some methods of reducing dimensionality?
Explain the Algorithm of Neural Networks (back propagation) in Machine Learning?
Tell us when should you use classification over regression?
What are the three types of algorithms?
What is feature engineering?
AI Algorithms (74)
AI Natural Language Processing (96)
AI Knowledge Representation Reasoning (12)
AI Robotics (183)
AI Computer Vision (13)
AI Neural Networks (66)
AI Fuzzy Logic (31)
AI Games (8)
AI Languages (141)
AI Tools (11)
AI Machine Learning (659)
Data Science (671)
Data Mining (120)
AI Deep Learning (111)
Generative AI (153)
AI Frameworks Libraries (197)
AI Ethics Safety (100)
AI Applications (427)
AI General (197)
AI AllOther (6)