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As mentioned earlier, I have been reading a large number of books and papers on machine learning and in-depth learning, but I find it difficult to apply these algorithms to ready-made small data sets.Filter target users. Through the recommended content, tell the user whether to "welcome" or "refuse". It's just like when you look at the front page of Eye Quick Hands and say that you don't like such content, Quick Hands say that I don't want you, and my target users like it.OVR trains N classifiers by taking samples of one class as positive examples and samples of all other classes as counterexamples at a time. If only one classifier predicts a positive class during the test, the corresponding class mark will be taken as the final classification result. As shown in FIG. 3.4, if multiple classifiers predict as positive classes, the prediction confidence of each classifier is usually considered, and the category mark with the largest confidence is selected as the classification result."Yes, Common carnivores, Whether it's a dog, Wolf, or the dog teeth of lion and tiger, They are all tapered sections, With a tip in the front, But this kind of thing is different, All of their teeth are the same, All of them are inverted triangles, And very thin, Both sides are like knives, It was all 'open-edged'. It was very sharp and very hard. When I pried its mouth with a dagger at that time, after priing it open, I could find many thin but obvious scratches on the blade of the dagger in the face of the sun. The dagger I used was made of steel. It was really surprising to me that the teeth could leave such marks on it. "Zhao Mingkai said.　　阿霞病危，雷洛带伤到医院探望，雷洛的仇家也追杀到了医院，儿子雷用贤看见父亲陷入险境，心中也展开了激烈的天人交战……一个小混混在阴差阳错间卷进一桩劫金大案，生死命悬一线，疯狂一触即发。为了八吨神秘黄金，混世小太岁、金镖十三郎、满洲第一影后、代庖神父、富家千金，各类人物粉墨登场；日本侵略军、外国公使、野鸡军团、神秘剧组、黑心包租婆，各方势力虎视眈眈。谁敌谁友？谁明谁暗？谁生谁死？ 在一个重兵把守，炮弹都炸不开的金库里，八吨黄金如何被劫走，成为最大悬念。