This text introduces the spirit and theory of hacking as well as the science behind it all it also provides some core techniques and tricks of hacking so you can think like a hacker, write your own hacks or thwart potential system attacks.
譯作：《黑客入侵的藝術(shù)》，也是從朋友的寶箱中搜來(lái)的，以前層大致瀏覽過(guò)，是難得一件的好資料。
Learning Kernel Classifiers: theory and Algorithms, Introduction This chapter introduces the general problem of machine learning and how it relates to statistical inference. 1.1 The Learning Problem and (Statistical) Inference It was only a few years after the introduction of the first computer that one of man’s greatest dreams seemed to be realizable—artificial intelligence. Bearing in mind that in the early days the most powerful computers had much less computational power than a cell phone today, it comes as no surprise that much theoretical research on the potential of machines’ capabilities to learn took place at this time. This becomes a computational problem as soon as the dataset gets larger than a few hundred examples.
This guide provides an in-depth look at the construction and underlying theory of a fully functional virtual machine and an entire suite of related development tools.
