Deep studying could also be stylish, however traditional fashions aren’t able to retire — not once they can nonetheless go toe-to-toe with CNNs in digit classification.
Not a part of the Medium’s companion program? No worries! 👉 Learn this text here.
Handwritten digit recognition is a traditional machine studying process that assessments the ability of algorithms in coping with real-world picture classification issues. On this article, we’ll discover how Convolutional Neural Networks (CNN) stack up in opposition to Traditional Machine Studying fashions like SVM, KNN, Naive Bayes, Gradient Boosting, and Random Forest — not simply of their easy kind, but in addition after tuning and optimization.
In the event you curiosity with evaluation & beautiful visualizations, be at liberty to acces one other my articles right here:
👉 Able to stage up your mannequin comparability expertise and discover out which strategy delivers the very best accuracy? Let’s dive in!
It can stroll you thru every stage of the experiment — from information loading to mannequin comparability — and finish with a transparent winner based mostly on precise accuracy efficiency.
Right here’s a fast flowchart summarizing our modeling journey:
