100% Off Coupon - Machine Learning and AI: Support Vector Machines in Python

What you’ll learn

Apply SVMs to practical applications: image recognition, spam detection, medical diagnosis, and regression analysis
Understand the theory behind SVMs from scratch (basic geometry)
Use Lagrangian Duality to derive the Kernel SVM
Understand how Quadratic Programming is applied to SVM
Support Vector Regression
Polynomial Kernel, Gaussian Kernel, and Sigmoid Kernel
Build your own RBF Network and other Neural Networks based on SVM

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