What to look for in your data
The foundation of AI is your data, which is exactly why we need to take very good care of our data. There are two main aspects that we need to investigate: the quantity and the quality of your data. One of the reasons AI is becoming an increasingly popular field is that its models are becoming better and easier to produce. This is partly because of how easy it is to get access to large amounts of data and process those large amounts of data to get a good model, thanks to cloud computing. Garbage in is garbage out, as they say, and the quality of your data is, therefore, just as important. We'll first talk about what we should do around data quantity, and then we'll discuss how we can explore and improve the data quantity.
Understanding data quantity
The purpose of a model is to find a pattern in your data that can be generalized to make interpretations about other or new data points. To make sure the model represents the true data well...
