Machine learning has been a black box for most people. We have been told how powerful it is to address our questions with the terms such as CNN, LSTM, training data, modeling, …. Also, machine learning has been practicing in so many fields such as medical, finance, macroeconomic, marketing, …etc to address the most difficult and complex questions.
Using machine learning as a tool to beat the market would be our goal here. Therefore, I’ve put together a list of questions that I used to have and will address them one by one in this post, hoping this would help people who have the same questions as I did. The fundamental ideas and theories behind machine learning are all about math, which I’m not going to over in this article as it would take ages to explain them in a better way than all the other existing articles that you can find on the internet.
The questions are:
- What does Machine learning do in the finance world?
- How does machine learning work?
- What are the FAMQ (Frequently Asked Myself Questions)?
- Postlogue: What is our ultimate goal of developing a quantitative investment strategy?