5 articles in this category.
We can take linear algebra as a backbone of machine learning, as almost all the machine learning techniques and algorithms somehow use linear algebra to some extent. Some famous machine learning te…
Parth Shukla
Ml wizard
Matrix decomposition in linear algebra is one of the most valuable techniques for reducing the matrix into smaller parts. In matrix decomposition, the eigendecomposition is a fundamental concept th…
Parth Shukla
Ml wizard
Statistics is a critical component of data science and machine learning algorithms. Almost all the machine learning algorithms use mathematics in the backend, which is linear algebra and statistics…
Parth Shukla
Ml wizard
We will understand what is automatic differentiation for absolute beginners, although this concept requires a fair amount of theoretical understanding of derivatives and the chain rule, But don’t w…
Abdul Khan
Data scientist
This article is a gentle introduction to symmetric indefinite matrices in Python Table of content What are symmetric indefinite matrices andwhere are they used? Imple…
Abdul Khan
Data scientist