本書第二部分講述的是在Wi n 3 2平臺上的Wi n s o c k編程。對于眾多的基層網(wǎng)絡(luò)協(xié)議，
Wi n s o c k是訪問它們的首選接口。而且在每個Wi n 3 2平臺上，Wi n s o c k都以不同的形式存在著。
Wi n s o c k是網(wǎng)絡(luò)編程接口，而不是協(xié)議。它從U n i x平臺的B e r k e l e y（B S D）套接字方案借鑒了
許多東西，后者能訪問多種網(wǎng)絡(luò)協(xié)議。在Wi n 3 2環(huán)境中，Wi n s o c k接口最終成為一個真正的
“與協(xié)議無關(guān)”接口，尤其是在Winsock 2發(fā)布之后。
Machine learning is about designing algorithms that automatically extract
valuable information from data. The emphasis here is on “automatic”, i.e.,
machine learning is concerned about general-purpose methodologies that
can be applied to many datasets, while producing something that is mean-
ingful. There are three concepts that are at the core of machine learning:
data, a model, and learning.
