# New Exclusive Course: Linear Programming for Linear Regression in Python

If you’ve been to deeplearningcourses.com recently, you will have noticed that there is now a section for exclusive courses. These are courses that will *not* be on any other platforms, only deeplearningcourses.com.

These are what I’ve been calling “mini-courses” during their development and that’s what they are in spirit. They are:

• Lower cost
• Shorter in duration

There won’t be any time spent on stuff like appendices which most of you have already seen and are mainly for beginners.

The point of these courses is to have a faster turn-around time on course development. Sometimes, there are topics I want to cover really quickly that won’t ever become a full-sized course. They will also be used to cover more advanced topics.

Unfortunately, a lot of students on other platforms (e.g. Udemy) are complete beginners who have no desire advance and gain actual skill. They take “marketer-taught” courses which leads to a complex which I call “confidence without ability”. Dealing with such students is draining.

These mini-courses will bring us back to the old days (many of you have been around since then!) where the material was more concise, straight-to-the-point, and didn’t need “beginner reminders” all over the place.

Given that these mini-courses are much simpler for me to make, I expect there to be many more in the future.

This first exclusive mini-course is on Linear Programming for Linear Regression.

Many students in my Linear Regression course often ask, “What if I want to use absolute error instead of squared error?” This course answers exactly that question and more.

The solution is based on Linear Programming (LP).

We will also cover 2 other common problems: maximum absolute deviation and positive-only (or negative-only) error.

These kinds of problems are often found in professional fields such as quantitative finance, operations research, and engineering.

Each of these problems can be solved using Linear Programming with the Scipy library.

BONUS FACT: I have a new pen and tablet set up so most of the derivations in this course are done by hand – really truly old-school like the Linear/Logistic Regression days!

Get the course here: https://deeplearningcourses.com/c/linearprogramming-python

### MATLAB for Students, Engineers, and Professionals in STEM

Another exclusive course which has already been on deeplearningcourses.com for some time is my original MATLAB course. This was the first course I ever made and is basically a collector’s item. The quality isn’t that great compared to what I am creating now, but obviously you will still learn a lot.

I’m including it in this newsletter to announce that I was able to dig up an extra section on probability that didn’t exist before. So the course now has 3 major sections:

1. MATLAB basic operations and variables
2. Signal processing with sound and images
3. Probability and statistics

Get the course here: https://deeplearningcourses.com/c/matlab