Arushi Prakash

Arushi Prakash, Ph.D., is an Applied Scientist at Amazon where she solves exciting science challenges in the field of workforce analytics. After obtaining a doctorate in Chemical Engineering, she transitioned to data science. She loves writing, speaking, and reading about science, career development, and leadership.

Working With Sparse Features In Machine Learning Models

By Arushi Prakash, Applied Scientist at Amazon on October 17, 2022 in Machine Learning
Sparse features can cause problems like overfitting and suboptimal results in learning models, and understanding why this happens is crucial when developing models. Multiple methods, including dimensionality reduction, are available to overcome issues due to sparse features.

Arushi Prakash

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