Dimensionality Reduction Interview Questions
Dimensionality Reduction, also called Generalization, is an important concept in AI and ML. Prepare for your interview the expert tips and guidance.
In the field of machine learning and data analysis, dimensionality reduction techniques play a crucial role in extracting meaningful insights from complex datasets.
Dimensionality reduction refers to the process of reducing the number of features or variables in a dataset while preserving as much relevant information as possible. This technique has gained significant popularity and is widely used for various reasons in data analysis. In this article, we will explore the key motivations behind using dimensionality reduction.