This article will guide you through the various techniques for transforming text into formats that machines can understand.

In a world where labeled data is often scarce, autoencoders provide a powerful solution for extracting insights from unstructured data

In this article, I will tough upon the topic of Jacobian matrix and how it is used in the back-propagation operation of deep learning.

Model prediction accuracy is crucial, but not always the top priority. Sometimes, we may need to sacrifice some accuracy to make the model m

Cross-validation is a go-to tool to check if your machine-learning model is reliable enough to work on new data. This article will discuss c

This article will discuss different cleaning techniques that are essential to obtain maximum performance from textual data

Gated Recurrent Unit (GRU) is a simplified version of Long Short-Term Memory (LSTM). Let’s see how it works in this article.

Long short-term memory (LSTM) networks have become a go-to tool for tasks like machine translation, language modeling, and speech recognitio