quick look at machine learning the clustering with scaling does not perfectly partition the animals based upon their eating habitsbut it is certainly correlated with what the animals eat it does good job of separating the carnivores from the herbivoresbut there is no obvious pattern in where the omnivores appear this suggests that perhaps features other than dentition and weight might be needed to separate omnivores from herbivores and carnivores wrapping up in this we've barely scratched the surface of machine learning we've tried to give you taste of the kind of thinking involved in using machine learning--in the hope that you will find ways to pursue the topic on your own the same could be said about many of the other topics presented in this book we've covered lot more ground than is typical of introductory computer science courses you probably found some topics less interesting than others but we do hope that you encountered at least few topics you are looking forward to learning more about eye position might be useful featuresince both omnivores and carnivores typically have eyes in the front of their headwhereas the eyes of herbivores are typically located more towards the side among the mammalsonly mothers of humans have eyes in the back of their head