When we say PhD in NLP or PhD in bayesian networks or PhD in boosting, how all the topics listed below are related? • /r/MachineLearning

There are three different types of topics in machine learning, the first ones are like NLP, Computer vision, Robotics etc. and other ones are algorithms in machine learning like genetic algorithms, neural networks, bayesian networks etc and thirdly there are concepts like decision trees, random forest, PCA etc. So, how are all these topics related when I say PhD in Bayesian Networks or PhD in NLP or PhD in boosting etc?