Up to this point, we have explored Python with NumPy, TensorFlow, sklearn, pandas, and matplotlib libraries. More platforms and libraries will be implemented in this book. In the months and years to come, even more languages, libraries, frameworks, and platforms will appear on the market. However, artificial intelligence is not only about development techniques. It is a branch of applied mathematics that requires a real-life interest in the field to deliver. Building a k-means clustering program from scratch requires careful planning. The program relies on data that is rarely available as we expect it. That's where our imagination comes in handy to find the right features for our datasets.
Once the dataset has been defined, poor conditioning can compromise the project. Some small changes in the data will lead to incorrect results.
Preparing the training dataset from...