PCA is not a panacea
Read OriginalThe article details a personal interview experience where the author disagreed with an interviewer who insisted PCA was the solution for any classification problem. Using examples like LSA vs. deep autoencoders for text classification, the author argues that linear methods like PCA are often misapplied and are not a panacea for complex, nuanced data problems in the field of data science.
Comments
No comments yet
Be the first to share your thoughts!
Top of the Week
No top articles yet