Visual Data Mining and Machine Learning

Visual Data Mining involves using visual tools and interfaces to explore large datasets, helping humans identify patterns, trends, and relationships more intuitively. Machine Learning, on the other hand, is a set of algorithms that automatically learn from data to make predictions or decisions without being explicitly programmed for specific tasks. Together, these approaches enable organizations to analyze complex data efficiently: visual tools highlight insights, while machine learning models create forecasts, automate processes, and uncover hidden patterns to inform better decision-making.