We need to double check if we can research more on the application of multi-threading instead of coding multi-threading. As such, Python may be a suitable language to work on.
In the current idea, we are going to use Machine Learning libraries to find the line-of-best-fit and compare its output to the traditional methods. We will need various data sets, best-fit equation templates, and ways to confirm correct fit (normal distribution curve and sigma?).
We need to double check if we can research more on the application of multi-threading instead of coding multi-threading. As such, Python may be a suitable language to work on.
In the current idea, we are going to use Machine Learning libraries to find the line-of-best-fit and compare its output to the traditional methods. We will need various data sets, best-fit equation templates, and ways to confirm correct fit (normal distribution curve and sigma?).
Please add more thoughts.