Designing datasets – where the dream stops and the hard work begins

As in the previous chapter, bear in mind that a real-life project goes through a three-dimensional method in some form or the other. First, it's important to just think and talk about the problem to solve without jumping onto a laptop. Once that is done, bear in mind that the foundation of machine learning and deep learning relies on mathematics. Finally, once the problem has been discussed and mathematically represented, it is time to develop the solution.

Note

First, think of a problem in natural language. Then, make a mathematical description of a problem. Only then, start the software implementation.

Designing datasets in natural language meetings

The reinforcement learning program described in the first chapter can solve a variety of problems involving unlabeled classification in an unsupervised decision-making process. The Q function can be applied indifferently to drone, truck, or car deliveries. It can also be applied...