Deep Learning

Transfer learning: How to build accurate models

A good Covolutional Neural Network model requires a large dataset and good amount of training, which is often not possible in practice. Transfer learning provides a turn around...

Algorithms

Dynamic Programming

Those who cannot remember the past are condemned to repeat it. — George Santayana

Data Science

Anscombe's Quartet

We often look for summary statistics during EDA (Exploratory Data Analysis). But, sometimes these statistics may give us wrong interpretation of the data. In 1973, a statistician Francis...

Data Science

Dealing with categorical data

Often in our machine learning model, we encounter qualitative predictors.

Data Science

Regularization

Our machine learning model often encouters the problem of overfitting. Regularization is one of the techniques to solve this problem.

Mathematics

Some Prime Thoughts

The Fundamental Theorem of Arithmetic states that every positive integer can be factored into primes in a unique way.

Data Science

Friendship paradox: facebook

Python

Turtle in Python: A Traffic light

We’re going to build a program that uses a turtle in python to simulate the traffic lights.