Machine Learning Flashcards
1
Q
What is a support vector machine? (SVM)
A
In machine learning, support-vector machines are supervised learning models with associated learning algorithms that analyze data for classification and regression analysis.
2
Q
What do these lines mean, and what is the formula:
Let x = some vector
||x|| ?
A
This is referring to normalizing the vector, or more intuitively, the length of the vector if you were to draw it on a graph. To find its value, ||x|| = (x1^2 + x2^2 + x3^2 + … + xn^2)^(1/2)
So, you’re basically taking the square of each vector variable, adding them, then taking the square root. Much like the hypotenuse of a triangle.
3
Q
Entropy formula?
A
4
Q
Gini formula?
A
5
Q
Classification error formula?
A
