India is aiming to become a developed nation, or Viksit Bharat, by 2047, a hundred years after independence.

Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back ...

Derive the Equations for the Backpropagation for Softmax and Multi-class Classification. In this video, we will see the ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

We publish deeply researched (and often vastly underread) academic papers about our collective omnipresent media bias. byTech Media Bias [Research Publication]@mediabias byTech Media Bias [Research ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Abstract: The widespread adoption of deep-learning models in data-driven applications has drawn attention to the potential risks associated with biased datasets and models. Neglected or hidden biases ...

A Perceptron is a basic learning algorithm invented in 1959 by Frank Rosenblatt. It is meant to mimic the working logic of a biological neuron. The human brain is basically a collection of many ...

Abstract: Multiclass classification problems are often addressed by decomposing them into a set of binary classification tasks. A critical step in this approach is the effective aggregation of ...

PR1, W1, T51, F58, SL4, KL3, SM11. This is not a test to crack a code. But you will see a series of letter and number combinations while engaging with the Paralympics in Paris. At the Olympics, there ...