The first week there were presented the Supervised and Unsupervised Learning. Regression and Classification were studied as applications of Supervised Learning. Cluster detection was mentioned as an Unsupervised Learning application.

Linear Regression

There was explained the Model function and also the Cost function.
It was nice how Parameter Learning was obtained with Gradient Descent.

Linear Algebra Review

The review was about Vector and Matrices, operations such as Scalar Multiplication, Matrix-Matrix Multiplication, Inverse and Transpose matrix.