How Does Machine Learning Aid in Data Simplification?
Machine learning algorithms play a vital role in data simplification by automating the process of identifying patterns and relationships within the data. Techniques such as supervised learning, unsupervised learning, and reinforcement learning can be employed to analyze large datasets efficiently. For instance, neural networks can be used for feature extraction, while decision trees can help in feature selection.
