Machine Learning: An Introduction
At its core, Machine Learning (ML) is like having a super-smart computer that learns from experience. Imagine teaching a child...
Machine Learning
Linear Discriminant Analysis: Concepts And Application
In the previous post, we learned about PCA and how to use PCA in machine learning for various applications. In...
Principal Components Analysis: Concepts And Application
In the previous post, we learned about SVD and how to use SVD for low-rank approximation. Building upon the concepts...
Singular Value Decomposition: Concepts And Applications
The singular value decomposition (SVD) is a crucial concept for machine learning that builds the foundation of many algorithms you...
Intelligence, Knowledge, Data, Information, AGI, Superintelligence And Responsible AI
As human beings, we need information in one form or another for our survival. Imagine a human baby, it doesn’t...
19 Basic Machine Learning Questions
Before I start, I would like to mention that these 19 basic machine learning questions have been taken from the...