You should keep the simple models of Machine Learning

We usually think about the queries like how Netflix recommends shows or Spotify recommends music. Well, the answer is the machine learning Algorithm. The ML train the model created from patterns in your data. It explores the possible space of models defines by parameters. But it is essential to know that we should start with small parameter space because if it is too big, then you will overfit to training data. A detailed explanation will require more calculations, but the models should be simple. However, if you have a lot of data, then you can go with complex models.