However, AI models are often used to find intricate patterns in data where the output is not always proportional to the input ...

Download the detailed syllabus PDF here. Check the section-wise topics, exam pattern, preparation strategy, and best books.

This is in the flavour of MatLab. For those interested in using linear algebra in a symbolic setting, or for working with matrices over the integers or rational numbers (not float point numbers) ...

Sakana found that self-adaptive models can modify their weights during inference to adjust behavior to new and unseen tasks.

Inspired by high-dimensional data and the ideals of open science, high-energy physicists are using artificial intelligence to ...

Abstract: This book contains a detailed discussion of the matrix operation, its properties, and its applications in finding the solution of linear equations and determinants. Linear algebra is a ...

Linear algebra is the mathematical backbone of many techniques used in algorithmic trading. It enables efficient data manipulation, portfolio optimization, and machine learning model development. From ...

Matrix algebra and Gaussian elimination. The geometry of vectors in R2, R3 and Rn. Vector spaces and linear transformation. Introduction to orthogonal geometry and eigenvalue problems. Meets the ...

This package supports lazy analogues of array operations like vcat, hcat, and multiplication. This helps with the implementation of matrix-free methods for iterative solvers. The package has been ...

GATE exam aspirants can check the GATE exam memory based questions for shift 1 and 2 from here. Know the questions asked in ...

A linear sequence repeatedly increases or decreases by the same amount. The number added (or subtracted) at each stage of the linear sequence remains the same. STEP 1 - You can solve problems ...