Introduction The Receiver Operator Characteristic (ROC) is a graphical representation and evaluation tool used in statistics and machine learning to assess the performance of binary classification models. It plots the true positive rate (sensitivity) against… Read More »ROC
Introduction Semi-supervised machine learning is a type of machine learning approach that combines both labeled and unlabeled data to train a model. Unlike supervised learning, where the training data is fully labeled, semi-supervised learning utilizes… Read More »Semi-Supervised Machine Learning
Introduction A Reproducible Analytical Pipeline (RAP) is a systematic approach used in data analysis and research to ensure that the entire process, from data collection to final results, can be replicated and reproduced by others.… Read More »Reproducible Analytical Pipeline (RAP)
Introduction Predictive analytics is a branch of advanced analytics that utilizes historical data, statistical algorithms, and machine learning techniques to make predictions about future events or outcomes. By analyzing patterns and trends in the data,… Read More »Predictive Analytics
Introduction Proof of Concept (PoC) is a preliminary demonstration or test that aims to validate the feasibility and potential of a concept or idea. It involves creating a small-scale version or prototype of a product,… Read More »Proof Of Concept (PoC)
Introduction On-premise refers to the deployment of software or technology infrastructure within an organization’s physical premises or data centers, rather than relying on cloud-based services or third-party hosting. This approach allows businesses to have direct… Read More »On-Premise
Introduction Genetic Algorithm (GA) is a computational method inspired by the process of natural selection and evolution. It is a heuristic search algorithm that aims to find optimal or near-optimal solutions to complex problems. By… Read More »Genetic Algorithm
Introduction A Memorandum of Understanding (MoU) is a formal agreement between two or more parties that outlines their mutual understanding and intentions to work together on a specific project or objective. It is a non-binding… Read More »Memorandum Of Understanding (MoU)
Introduction Gradient descent is an optimization algorithm commonly used in machine learning and mathematical optimization. It is used to minimize a function by iteratively adjusting the parameters in the direction of steepest descent. By calculating… Read More »Gradient Descent
Introduction A Large Language Model (LLM) refers to a type of artificial intelligence model that is designed to understand and generate human-like text. It is trained on vast amounts of data, typically consisting of written… Read More »Large Language Model (LLM)