What is multi-class classification in machine learning? Multi-class classification is a machine learning task that aims to assign input data…
What is active learning in machine learning? Active learning is a machine learning technique that involves iteratively selecting and labelling…
What is a large language model? A large language model (LLM) is a type of artificial intelligence (AI) trained on…
What is zero-shot classification? Zero-shot classification is a machine learning approach in which a model can classify data into multiple…
Graph Neural Network (GNN) is revolutionizing the field of machine learning by enabling effective modelling and analysis of structured data.…
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…
L1 and L2 regularization are techniques commonly used in machine learning and statistical modelling to prevent overfitting and improve the…
What is hyperparameter tuning in machine learning? Hyperparameter tuning is critical to machine learning and deep learning model development. Machine…
How does a feedforward neural network work? What are the different variations? With a detailed explanation of a single-layer feedforward…