Free PDF : Get our updated Data Science Course Content pdfDownload Now 14. Please explain Eigenvectors and Eigenvalues. Eigenvector, eigenvalue are often referred to as right vectors, which simply means a column vector. Eigenvalues are coefficients applied to eigenvectors that give the vectors their...
Even if you are not looking for a data scientist position now, as you are still working your way through hands-on projects and learning programming languages like Python and R –you can start practicing these Data Scientist Interview questions and answers. Download 100 Data Science Interview Qu...
If norm of x is greater than 0 then x is not equal to 0 (Zero Vector) and if norm is equal to 0 then x is a zero vector. 13. Why is squared of L2 norm preferred in ML than just L2 norm On raising power to cube (L3), quad (L4) or higher, the function becomes sensitive ...
of mathematics depend on each other, and teachers at every level share a critical interest in improving mathematics education. This common concern, and the obvious need for coordination between elementary, secondary, college, and graduate mathematics curricula, ought to provide a natural context for ...
22. What is an Eigenvalue and Eigenvector? Eigenvectors are unit vector that their length or magnitude is equal to 1. They are often referred to as right vectors which simply mean a column vector whereas, eigenvalues are coefficients applied to eigenvectors that give the vectors their length or...
theory-questions
Linear Algebra - vectors, matrices, operations help you understand eigenvalues and eigenvectors Statistics - plots, statistical tests, probability distributions and some techniques like regression help you interpret results and gain insights Calculus - (partial) derivatives help you understand how cost funct...