sepisoad

The Problem

Let's say that we have a machine that spits out a number (between 1 to 15) alongside a color (either green or blue) every 10 seconds.

OK so every 10 seconds we get a number (between 0 to 15) and a color (green/blue), cool, BUT we do not have any clue how these choices are made by the machine, we can just observe the output and record it at best.

The Question

can we use ML to feed in a model with a lot of these numbers and/or colors as they are put out by the machine and after a while let the model predict the next number and/or color which is going to be generated by the machine?

Hi, I am starting to launch my blog. I want to make interactive tutorials. For this I am going to need some tools to show reader how things exactly works.

For example let's say I want to teach readers how stack memory works in an interactive way, for this to happen readers may see a box with two buttons (push,pop) and a canvas to draw stack, so that when reader clicks on push button, an item gets pushed onto stack or when clicks on pop and the the reverse.

I know I can do this using raw JS and SVG but I am willing to use an existing tool to make writing such blog posts easier and faster.

What are your suggestions.