In machine learning (ML), bias is not just a technical concern—it's a pressing ethical issue with profound implications. As AI…
What are Support Vector Machines? Machine learning algorithms transform raw data into actionable insights. Among these algorithms, Support Vector Machines…
What is Weight Decay in Machine Learning? Weight decay is a pivotal technique in machine learning, serving as a cornerstone…
What is Cosine Annealing? In the vast landscape of optimisation algorithms lies a hidden gem that has been gaining increasing…
What is Data Drift Machine Learning? In machine learning, the accuracy and effectiveness of models heavily rely on the quality…
What are Evaluation Metrics for Regression Models? Regression analysis is a fundamental tool in statistics and machine learning used to…
What is Bagging, Boosting and Stacking? Bagging, boosting and stacking represent three distinct ensemble learning techniques used to enhance the…
Why Do We Need Performance Metrics In Machine Learning? In machine learning, the ultimate goal is to develop models that…
Understanding Stochastic Gradient Descent (SGD) In Machine Learning Stochastic Gradient Descent (SGD) is a pivotal optimization algorithm widely utilized in…
What is a Multilayer perceptron (MLP)? In artificial intelligence and machine learning, the Multilayer Perceptron (MLP) stands as one of…