I'm working on a school project where I have to create and optimize a simple algorithm to predict the 35th data point based on a dataset of 34 pieces of information (with 1000 entries for each point). I've identified four relevant variables and built a prediction algorithm that looks like this: y = ((x1 * b1) + (x2 * b2) + (x3 * b3) + (x4 * b4) / 4). I started by calculating the initial biases using averages and then created a function to return the RMSE. I have a mutation approach to optimize the biases and lower the RMSE, but now I'm questioning if this qualifies as an AI algorithm or if it's just a brute force method. Is this considered a form of AI, or does it resemble polynomial regression?
1 Answer
Yep, I'd say that counts! Just keep in mind that if your teacher has a different definition of 'AI algorithm', they might not see it as such, but you're definitely using predictive modeling here.
Good point! There’s no strict guideline on what qualifies as an AI algorithm, so as long as I'm creating a predictive model, I’ll be okay.