Kelegan | Tech Fluency for an Evolving World

Definition Model evaluation is a process of measuring how well a machine learning model performs using different evaluation metrics and methods. It assesses the model’s effectiveness in making predictions and its ability to work with new data, direc…

Definition Model Explainability is a concept that a machine learning model and its output can be explained in a way that makes it easily understandable to a human at an acceptable level. Usually, ‘Explainability’ and ‘interpretability’ are often use…

Definition Model Interpretability refers to how well a machine learning model’s prediction can be understood and explained. It's an important aspect of data science that enables professionals to understand the relationships between inputs and ou…

Definition Model monitoring is the process of systematically observing, assessing, and measuring machine learning models after release to guarantee they maintain expected performance in real-world environments. The process involves monitoring both t…

Definition In AI, model training is a process that involves teaching a machine learning model to identify patterns and make decisions by feeding data to it. With this training, the model learns to assign inputs input (e.g., images, text, or numbers)…

Definition Model versioning is the process of tracking different versions of ML models during development and after deployment. The process spans giving unique identifiers to model versions and maintaining metadata like run logs, performance metrics…

Definition Multimodal AI is an artificial intelligent system that processes different kinds of data such as text, images, video and audio to produce content, form insights and forecast outcomes. According to Aaron Myers, chief technology officer at …