This chapter marks the end of this book. I hope all the concepts discussed here are clear by now. I also hope the mixture of the theoretical background of each algorithm and its practical use paved the way for you to adapt the solutions offered here for the different problems you meet in practice in real life. Obviously, no book can be conclusive, and new algorithms and tools will be available to you in the future. Nevertheless, Pedro Domingos groups the machine learning algorithms into five tribes. Except for the evolutionary algorithms, we have met algorithms that belong to four out of Domingos' five tribes. Thus, I hope the various algorithms discussed here, each with their own approach, will serve as a good foundation when dealing with any new machine learning solutions in the future.
All books are a work in progress. Their value is not only in their content but goes beyond that to include the value that comes from the future discussions they spark. Be...
