Category: Artificial Intelligence

Maths behind Polynomial regression

Polynomial regression is a process of finding a polynomial function that takes the form f( x ) = c0 + c1 x + c2 x2 ⋯ cn xn where n is the degree of the polynomial and c is a set of coefficients. Through polynomial regression we try to find an nth degree polynomial function which is the closest approximation of our data points. Below is a sample random dataset which has been regressed […]

Math behind Linear Regression with Python code

Simple linear regression is a statistical method you can use to study relationships between two continuous (quantitative) variables: independent variable (x) – also referred to as predictor or explanatory variable dependant variable (y) – also referred to as response or outcome The goal of any regression model is to predict the value of y (dependant variable) based on the […]

Finally some success after an year of research in trying to teach a computer how to understand a question like a human.

Like I always believed, there is a way to represent each and every natural language sentence using mathematical notations. Its been an year since I have been playing around with various AI algorithms and after countless failed attempts today I made some progress. A sentence can be divided into three parts as explained in Subject-Verb-Object. So a good AI who […]