What is k-fold cross-validation? K-fold cross-validation is a popular technique used to evaluate the performance of machine learning models. It…
Introduction to word embeddings Word embeddings have become a cornerstone of Natural Language Processing (NLP), transforming how machines process and…
What is skip-gram? Skip-gram is a popular algorithm used in natural language processing (NLP), specifically in word embedding techniques. It…
What is fuzzy name matching? A fuzzy name matching algorithm, or approximate name matching, is a technique used to compare…
Graph Neural Network (GNN) is revolutionizing the field of machine learning by enabling effective modelling and analysis of structured data.…
What is few-shot learning? Few-shot learning is a machine learning technique that aims to train models to learn new tasks…
History of natural language processing Natural Language Processing (NLP) has a fascinating history that spans several decades. Let's journey through…
What is an activation function? In artificial neural networks, an activation function is a mathematical function that introduces non-linearity to…
Why Combine Numerical Features And Text Features? Combining numerical and text features in machine learning models has become increasingly important…
What are open-source large language models? Open-source large language models, such as GPT-3.5, are advanced AI systems designed to understand…