Support Vector Machine, Machine Learning, Classification, Deep Learning, Hands On Tutorials.
column of K 𝘛𝘦𝘴𝘵 𝘝𝘦𝘤𝘵𝘰𝘳 2 (𝘟’2) L2 Distance 🟪 [12]-[14] [12] Squared Difference [13] Sum [14] Square Root [15] Negative Scaling [16] Exponentiate ↳Output: The 2nd column of K Next step is to work on🟧 Decision Boundary using steps [17]-[19]. Decision Boundary [17] Unsigned Coefficients → Signed