AI and Machine Learning for Qlik Developers - Part 1

As Socrates might have said one sunny day in Athens: 

"The basis of knowledge is to realize one's ignorance."

Last year I thought I knew very little about AI and Machine Learning.

So I decided to create one.

Today, I know that I know very little about AI and Machine Learning.

Data, Math, Python or Julia?

I did some reading and I understood that knowing Python or Julia is probably a good way to start, understanding data seems important and have some basic understanding of math is more or less vital.

By working with ERP and BI since 20+ years, I know a lot about data, and even though it’s decades since I was at some kind of school learning math, I have still some basic knowledge somewhere in the back of my head. But I don't know Python. Do I have to know Python?

The project

A great way to learn something new is to relate it to something you already know.

I know some programming languages since before, mostly various data scripting languages, so why not try to learn Python by first trying to create an AI in a language I already know?

So I decided to see if I can create an AI completely using only Qlik Script.

Is it possible?

Part 2 Understand more about the projects and the required skills in Qlik Script.

Part 3 : Easy example of linear regression in Qlik Script.

Part 4 : ML terminology and supervised multivariate linear regression in Qlik Script.

Case Study 1 : Predict the amount of a insurance claim.

Case Study 2 : Predict Stock Index Prices

Part 5 : Logistic Regression

Case study 3 : Predict survivals of Titanic

Part 6 : Introduction to Decision Trees and Random Forest Algorithm (not published yet)

Thank you for reading. Please share if you like it, and comment on the post if you have questions or feedback about the content.

Connect with me here on LinkedIn if you want to be sure to see the end result, and eventually get a copy of the complete Qlik Script.