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!
Browser Extension
Get instant access to AllDevBlogs from your browser
Top of the Week
1
Using Browser Apis In React Practical Guide
Jivbcoop
•
2 votes
2
Better react-hook-form Smart Form Components
Maarten Hus
•
2 votes
3
Top picks — 2026 January
Paweł Grzybek
•
1 votes
4
In Praise of –dry-run
Henrik Warne
•
1 votes
5
Deep Learning is Powerful Because It Makes Hard Things Easy - Reflections 10 Years On
Ferenc Huszár
•
1 votes
6
Vibe coding your first iOS app
William Denniss
•
1 votes
7
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook
•
1 votes
8
Quoting Thariq Shihipar
Simon Willison
•
1 votes
9
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft
•
1 votes