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AI is in the current air outlet, so many people want to fish in troubled waters and get a piece of the action. However, many people may not even know what AI is. The connection and difference between AI, in-depth learning, machine learning, data mining and data analysis are also unclear. As a result, many training courses have sprung up, which cost a lot of money to teach demo and adjust the participants. They have taught you to study engineers quickly and deeply in one month, making a lot of money. We should abandon this kind of industry atmosphere! In my opinion, any AI training currently on the market is not worth attending! Don't give money to others, won't it hurt? -However, when everyone taught themselves, they did not know where to start. I got a lot of data, ran a lot of demo, reported a lot of cousera, adjusted the parameters, and looked at the good results of the model. I thought I had entered the door. Sorry, sorry, I spoke directly. Maybe you even sank the door. In my opinion, there are several levels of in-depth study of this area: (ignore the name you have chosen at random-)俊杰说服苏老太举家西迁重庆避难，为保万该剧讲述了法医师秦明，携手刑警林涛、法医助理陈诗羽等人，在一个个扑朔迷离的案件中寻找真相，倾听逝者“遗言”，为逝者代言的故事。Well, in the above example, we have changed the action in the rule from DROP to REJECT, so what is the difference between DROP and REJECT? Literally, DROP means discarded, REJECT means rejected, and REJECT seems to be more determined. Let's launch a ping request from host 146 to host 156 again to see what is different from the previous action of DROP.…,于是乎，漆黑的夜里。******下一更比较晚，亲们等不及可以明早再看。<廉洁版本.>