Upgrade the Learner
Prepare data by adding more dimensions and upgrading the algorithm according to the updated dataset.
We'll cover the following
After a mathematical detour, we can return to work at hand. We want to upgrade our learning program to deal with multiple input variables. Let’s make a plan of action so that we do not get lost in the process:
- First, we’ll load and prepare the multidimensional data, to feed them to the learning algorithm.
- After preparing the data, we’ll upgrade all the functions in our code to use the new model. We’ll switch from a line to a more generic weighted sum, as mentioned in Adding More Dimensions.
Prepare data
ML is all about building amazing AIs. The reality is that a large part of the job is preparing data for the learning algorithm. To do that, let’s start from the file that contains our dataset:
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