Hi, this post is not a typical Deep Learning approach to a problem. Instead of this, it will show you, that sometimes simple data analysis can allow to write simple yet efficient algorithm. It will show you how to build a dynamic list of options driven by user behavior. Main idea is to recommend this
During recent WWDC Apple presented their newest tool called Create ML. As a ML enthusiast i was really impressed on what i’ve seen on dedicated session (703), so i thought it would be worth to investigate how powerful it really is. 1. Create ML in a nutshell (you can skip if you watched WWDC presentation).
Idea of GA is pretty simple, we are trying to “grow” solution, using natural selection mechanism, similar to one used by nature to create better live beings. Sounds easy? In fact it is easy, especially in Swift. Tip: aim of this post is not to introduce into the GA topic in general, so i can suggest