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This series of articles is based on my speech on RSA 2018.十年前品学兼优自带男神光环的路非，与倔强叛逆的任性少女辛辰相遇。这样气场迥异的两人，却在一场意外中萌生了情愫，然而岁月欺人，两人最终走散。讲述一个“高富帅”穿越千年后虎落平阳而后东山再起的传奇故事。全剧由两获“中国文艺星光奖”的原央视系列喜剧总导演张凯亲自操刀编剧并执导，众多实力与颜值并重的人气演员倾力出演。　　上一季的最后一集里，Sara Sidle（Joria Fox饰）被一个连环杀手设计困在了内华达沙漠中的一辆车下，倾盆大雨很快会把她给淹死，而此时Gil Grissom（William Petersen饰），她男友兼老板，还有其他办案人员正全力营救她。Sara能否闯过这一关，一是要看那辆车的状况，还一个就是要看Fox电视台能否跟这位CBS当红演员续约。Sara到底会留下来吗？2016年，由于开始侵蚀世界的怪人“BugStar”=未知的电脑游戏病毒侵蚀开始。为了救助感染者，决定与BugStar战斗的天才玩家宝生永梦变身为假面骑士Ex-Aid。For codes of the same length, theoretically, the further the coding distance between any two categories, the stronger the error correction capability. Therefore, when the code length is small, the theoretical optimal code can be calculated according to this principle. However, it is difficult to effectively determine the optimal code when the code length is slightly larger. In fact, this is an NP-hard problem. However, we usually do not need to obtain theoretical optimal codes, because non-optimal codes can often produce good enough classifiers in practice. On the other hand, it is not that the better the theoretical properties of coding, the better the classification performance, because the machine learning problem involves many factors, such as dismantling multiple classes into two "class subsets", and the difficulty of distinguishing the two class subsets formed by different dismantling methods is often different, that is, the difficulty of the two classification problems caused by them is different. Therefore, one theory has a good quality of error correction, but it leads to a difficult coding for the two-classification problem, which is worse than the other theory, but it leads to a simpler coding for the two-classification problem, and it is hard to say which is better or weaker in the final performance of the model.讲述了一个曾经很强大的律师Billy McBride（Billy Bob Thornton饰），由于一无辜的孩子被害的案子迷失了自己，他因心里内疚开始酗酒，而还被律所的合作人赶出律所，失去工作穷困潦倒。现在Bill面临复仇的机会，重拾斗志和信心，却因一案件又得和自己老东家对上。