More articles in Maths

Portfolio Optimization using MPT in Python

In this article, we will understand how financial Portfolio Optimization works using Modern Portfolio Theoty in Python seamlessly

Estimation of Neurons and Forward Propagation in Neural Network

Explore the estimation of neurons in neural networks, steps for building models, forward propagation, and output calculations. Read Now!

Mathematics as a Monarch

Mathematics is an important prerequisite in Data Science. Let's see which concepts of mathematics come handy for data scientists

Neural Networks and Activation Function

Invert the characteristics of Convolution with Involution

The idea of Involution is to invert the characteristics of Convolution. Involution computation is the same as convolution except for kernel

Proximity measures in Data Mining and Machine Learning

Proximity measures are mainly mathematical techniques that calculate the similarity/dissimilarity of data points in Data science

How the Gradient Boosting Algorithm Works?

Gradient boosting algorithm is one of the most powerful algorithms in the field of machine learning. Let's understand it here

Denoising Hyperspectral Images using Wavelet Transform Techniques

A wavelet is a rapidly decaying, wave-like oscillation that has zero mean. Let's understand wavelet transform techniques in this article

Improve Naive Bayes Text classifier using Laplace Smoothing

The most reliable solution to the zero probability problem is to use a smoothing technique, more particularly Laplace Smoothing. Start reading now!

Activation Function in Neural Networks

Learn about the importance of activation functions in neural networks and how they enable handling intricate tasks with non-linear computations.