Support Vector Machines (SVM) are supervised machine learning algorithms used for classification, regression, and outlier detection tasks. SVMs work by finding the optimal hyperplane that separates data points into distinct classes. In essence, an SVM attempts to maximize the margin between different classes of data, making it a robust tool for classification tasks, especially in…

Synthetic data refers to artificially generated data that is created to mimic the characteristics and statistical properties of real-world data. It is generated using algorithms, simulations, and machine learning models rather than being collected from actual observations or interactions. Synthetic data is widely used in research, testing, training machine learning models, and other applications where…

Synthetic Research in the context of market research refers to the use of artificial intelligence (AI) and machine learning (ML) to generate synthetic respondents or simulate survey data. Instead of gathering responses directly from human participants, synthetic research models use algorithms trained on large datasets to emulate responses, behaviors, and preferences of a target audience.…