While you work in a certain field for long enough, there are some classes, concepts, lessons, and teachers that you’ll at all times remember.
For instance, my mom is a teacher and he or she remembers the substitute teacher that made her fall in love with philosophy for the primary time.
My Tae Kwon Do master will at all times remember the first-class of Tae Kwon Do when he was only a child and the joy that mounted inside him.
I’m a Machine Learning Engineer. Professionally speaking, Machine Learning is the thing I really like probably the most and it’s probably the topic that I do know higher.
A category that I’ll at all times remember is when my first Machine Learning professor during my bachelor’s degree described the difference between classification and regression. An example of a classification task is identifying whether an email is spam or not given its text. An example of a regression task is predicting the worth of a house based on its features (e.g. size, location, etc…).
We define a set of features as a matrix (table) X with k columns and n rows. In each the classification and regression tasks, the output is a vector y that…
