I specialize in the dynamic and ever-evolving field of Artificial Intelligence, Data Science. My expertise lies in harnessing the power of AI, Natural Language Processing (NLP), Data Engineering, and cutting-edge AI-ML technologies to unravel complex problems and unlock new possibilities.
Deep Learning For NLP Prerequisites
Understanding RNN Architectures for NLP: From Simple to Complex Natural Language Processing (NLP) has evolved dramatically with the development of increasingly sophisticated neural network architectures. In this blog post, we’ll explore various recurrent neural network (RNN) architectures that have revolutionized NLP tasks, from basic RNNs to complex encoder-decoder models. Simple RNN: The Foundation What is […]
Comprehensive Guide to NLP Text Representation Techniques
Natural Language Processing (NLP) requires converting human language into numerical formats that computers can understand. This guide explores major text representation techniques in depth, comparing their strengths, weaknesses, and practical applications. 1. One-Hot Encoding One-hot encoding is a fundamental representation technique that forms the conceptual foundation for many text representation methods. How It Works One-hot […]