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Parag Radke
Parag Radke

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Published in Towards Data Science

·Oct 13, 2017

Probabilistic Graphical Models — Introduction

Probabilistic graphical models or PGM are frameworks used to create probabilistic models of complex real world scenarios and represent them in compact graphical representation. This definition in itself is very abstract and involves many terms that needs it’s own space, so lets take these terms one by one. Model A…

Machine Learning

4 min read

Probabilistic Graphical Models — Introduction
Probabilistic Graphical Models — Introduction
Machine Learning

4 min read


Published in Towards Data Science

·Sep 29, 2017

Gaussian Discriminant Analysis an example of Generative Learning Algorithms

Gaussian Discriminant Analysis an example of Generative Learning Algorithms Generative Learning Algorithms: In Linear Regression and Logistic Regression both we modelled conditional distribution of y given x, as follow.

Machine Learning

4 min read

Gaussian Discriminant Analysis 
an example of Generative Learning Algorithms
Gaussian Discriminant Analysis 
an example of Generative Learning Algorithms
Machine Learning

4 min read


Published in Towards Data Science

·Sep 14, 2017

Logistic Regression

“It is more important to have beauty in one’s equations than to have them fit experiment…” — Paul Dirac This is also know as ‘Classification’. This is used in many scenarios where we want to categories input in predefined classes. For ex. tag email as spam/non spam, predict the age…

Machine Learning

3 min read

Logistic Regression
Logistic Regression
Machine Learning

3 min read


Published in Towards Data Science

·Sep 6, 2017

Linear Regression

“An approximate answer to the right problem is worth a good deal more than an exact answer to an approximate problem.” — John Tukey linear regression is a linear approach for modeling the relationship between a scalar dependent variable y and one or more or independent variables denoted X. Unlike…

Machine Learning

3 min read

Linear Regression
Linear Regression
Machine Learning

3 min read


Sep 6, 2017

Vector/Matrix Calculus

Calculus has its own limits :) Definition: matrix calculus is a specialised notation for doing multivariable calculus. It collects the various partial derivatives of a single function with respect to many variables, and/or of a multivariate function with respect to a single variable, into vectors and matrices that can be…

Machine Learning

3 min read

Vector/Matrix Calculus
Vector/Matrix Calculus
Machine Learning

3 min read


Sep 5, 2017

Vector/Matrix Algebra

What is the Matrix? Matrix The ordered rectangular array

Machine Learning

5 min read

Vector/Matrix Algebra
Vector/Matrix Algebra
Machine Learning

5 min read

Parag Radke

Parag Radke

781 Followers

A student of Mathematics.

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