Vectorized implementation of cost functions and Gradient Descent

AI Mind Map

Precision and Recall

Imagine there is a class of 18 students, in which 8 students are genius in reality. And 10 students are not genius. Say, we develop a model to classify the students into two labels — “Genius” and “Not Genius”. Now, we would like to evaluate this model. To evaluate any such binary classifiers…

Evaluating a model on overfitting and underfitting

Ofcourse if there is more than one independent variable it is difficult to visualize the underfit or overfit. But then, this can be inferred if you plot the “Learning Curve”.

Linear Regression Model

Linear regression Model is a supervised learning algorithm in which we try to predict a linear equation with one or more than one independent variables. Given the independent variables, the equation is able to predict the dependent variable. The independent variables are known as…

Vectorization of a neural network

How is AI different from ML?

This is an excerpt from my ML course notes during my M.Tech.

Courtesy — Prof. Srinivasa Raghavan.

One way to look at AI is to build human look-alike and “intelligent” machines/robots. AI as used was practically top-down i.e…