StOp 1.3: Simulated Annealing in Python, Part 2: Sorting by Searching

I've written all the instructions and code into another Python Notebook. This will be a more non-traditional application of simulated annealing. We'll implement One More, and then move on to the next algorithm.

This is a viewer to see the notebook. Then, you can click Open with Google Colab, Login to your Google Account, and you will be able to edit your own copy of the notebook. If you are doing this, ignore the request in the notebook to make a copy before editing.

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Phase Spaces 2 : Math and Gradient Descent

I'm going to start from where we left off in the last part of this series. If you haven't read that yet, check that out first if you want a more detailed understanding: We explored what a Phase Space is, why it's useful, what it has to do with Machine Learning, and more! I'm assuming you've read the previous article, or you know what I talked about there: so let's get to it. At the end of the last article, we discovered that it was the power of mathematics that would help us find the best values of the parameters for the lowest cost function. Before we get into what the Math does, however, we'll need to define some things in the math. If you've done Calculus, and in particular, partial derivatives, you can skip this section, but otherwise I would suggest at least a cursory glance. I don't go into too much detail on the subject, but that's only because you won't need it. Calculus Interlude: Derivatives- The slope of a graph is a concept you...

StOp 1.4: Simulated Annealing in Python, Part 3: Allocating Groups by AI

I quite enjoy discussions. However, talking just to people within my friend circle can sometimes become boring. After all, I tend to attract similar perspectives, and to occasionally challenge my own outlook, and see things from another vantage point is something I'd like to do. Events with discussion groups are a great place to do this. But one thing that tends to be a challenge with such events, is who to allocate which group to. Let's say there are 5 discussion groups, and the Google Form you have created allows a prospective participant to select their First-Choice and Second-Choice. How do you decide which groups to allocate to each participant? And this is a more general problem than the obscure idea of a discussion event: it could apply in a virtual conference of educational seminars, or even in class allocations. The most interesting part about AI, is its ability to express and solve seemingly subjective problems. Yes, I do mean that Simulated Annealing can solve this ...

Phase Spaces 1 : Graphs and Geometry

Phase Spaces One of the least heard of, and most interesting techniques of the sciences, that you rarely realize you’ve used before. Phase spaces are symbolic representations of a particular problem, which you can then use to solve it. Let’s start with a simple problem - in physics maybe. Let’s say we have a car, as all good physics problems do. You’re driving at a set initial speed, and a set acceleration. At what time would you have travelled exactly 15 ft? Let’s look at it in terms of "a phase space". I have a velocity-time graph down here: ...

Machines and Metaphors

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