In this article, I will explain a widely used method for segmenting handwritten documents into individual lines. Below...
Deskewing scanned documents using horizontal projections
An important pre-processing step in any OCR tool or algorithm is to deskew the scanned document first. Take...
Mathematics of Principal component analysis
Principal component analysis is a method used to reduce the number of dimensions in a dataset without losing...
K-Means on Iris Dataset
Read my previous post to understand how K-Means algorithm works. In this post I will try to run...
Mathematics behind K-Mean Clustering algorithm
K-Means is one of the simplest unsupervised clustering algorithm which is used to cluster our data into K...
Understanding Support vector Machines using Python
Support Vector machines (SVM) can be used for both classification as well as regression tasks but they are...
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...
Evaluating the fitness of a modal with a cost function
Previously we derived a simple linear regression modal for our Pizza price dataset. We built a modal that...
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...
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....