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From basic skills to methodology to character and mode of thinking, it is a process from "skill" to "Tao". However, unfortunately, many people blindly worship "Tao" and despise "Shu", but they do not know that the real Tao comes from the accumulation of Shu and the natural process from quantitative change to qualitative change. Without solid basic skills and systematic methodology, it is ignorant and opportunistic to talk about the so-called "philosophy, art and character" and rely on beautiful words and high-profile rhetoric to attract attention. Experience does not necessarily translate into theory, and scattered knowledge points do not necessarily rise to system integration. However, due to the lack of basic foundation and knowledge accumulation, the so-called "investment philosophy" can only be a joke. "Avenue to Jane" and "Avenue to Connect" are logically reasonable, because there are only a few great principles after high abstraction, but the difference between "technique" is very large because it is very meticulous. Therefore, what really troubles people is the process of combining and refining from art to Tao.夏正站在这里也慌了，这宅子，该是比赵督军的不差吧？全浙江也数不出五个了。男孩子气的女孩劳拉（佐伊·赫兰 Zoé Héran饰）时常被误认为是男生，而且她自己也不认同自己的女孩性别。一天，她跟随家人搬到了新的社区生活。在这里，劳拉干脆彻底把自己打扮成男孩“米克尔”，剪短发、穿男孩子的衣服，更像男孩子一样赤膊踢球、游泳。这很自然的吸引了女孩儿莉 莎（让娜·蒂森 Jeanne Disson饰）的注意力，两个年龄相仿的女孩相互倾慕，逐渐成为“两小无猜”的小情侣。劳拉这场瞒天过海的谎言，会随着暑假结束的到来而被拆穿么？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.可这位邹应龙不同，督察院的官员多半都精明平稳，不问外事，只管监察。Weaving)