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Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.
3
votes
Logistic Regression Vs SVM
The main difference is that logistic regression can only separate linearly separable classes where as SVM (with the kernel trick) can find any arbitrarily shaped decision boundary. This means that SVM …
4
votes
What is weights in perceptron
Using this picture I found online, you can see that the perceptron creates $y$ which is just the weighted sum of the inputs multiplied by an activation function (in the image it's a step function). …
10
votes
Accepted
Why decision boundary is of (D-1) dimensions?
The line is a 1-D boundary in 2-D space. If you think of yourself as a point on the decision boundary, the number of (non-parallel nor anti-parallel) directions you could travel on the boundary will b …