MLE CheatSheet: Lin Reg

For some machine learning engineer positions, they will ask you to implement a model of some sort, without using the actual library (sklearn, or h2o). So, you can just use this as a guide.

Required Readings

• Matrix Manipulation

• Understanding Linear Regression

Table of Contents:

1. Who this is for

2. Matrix Properties

3. The Objective Function

4. Creating the Algorithm

1 - Who this is for

If you are going for a job interview for a position called a Machine Learning Engineer. Literally every single one of them likes to throw a ML function at you, and they ask you to code it. Instead of spending several hours on trying to figure this out, you can effectively just understand the code presented here, and then recreate it in the in-person technical interview.

Or, if the interview is remote, literally just copy paste the code slowly, so that way it looks like you came up with it.

EZ pass.

2 - Matrix Properties

Basic Definition:

Identity Matrix: