What is a Linear Regression? A fundamental supervised machine learning technique for modeling the relationship between a dependent variable (predicted) and one or more independent variables (predictors). It uses a linear equation to estimate the best fit for the data.
What is a Loss Function? A fundamental suA mathematical function used to measure the difference between the predictions of a machine learning model and the desired outcomes. Minimizing the loss function during training helps the model learn and improve its performance.
What is a Low-code/No-code AI platforms? Platforms that provide user-friendly interfaces and tools allowing users to build AI applications without extensive programming knowledge.
What is Machine Learning (ML)? A field of AI that enables computers to learn and improve their performance on a specific task without explicit programming.
What is Machine Learning Model? A software application trained on data to perform a specific task, such as classification, prediction, or decision-making.
What is MLOps (Machine Learning Operations)? The practice of applying DevOps principles to the development, deployment, and management of machine learning models. It ensures efficient and reliable model lifecycles, including version control, monitoring, and continuous improvement.
What is Model Drift? The phenomenon where a machine learning model’s performance degrades over time due to changes in the underlying data distribution or real-world environment. Monitoring for model drift and retraining models as necessary is crucial for maintaining accuracy and effectiveness.
What is Model Explainability (XAI)? Making machine learning models understandable and interpretable, allowing humans to understand the reasoning behind their predictions.
What is Model Validation? The process of evaluating a machine learning model’s performance on unseen data. This helps assess the model’s generalizability and identify potential areas for improvement before deployment.
What is Multi-hop Reasoning? The ability of an AI system to access and process information from multiple sources to answer complex questions or solve problems that require connecting the dots across different pieces of information.