Detailed analysis of data cleaning and feature processing in machine learning

Absrtact: Some people advocate the product, some people advocate the operation, also some people advocate the strategy ... What should be respected in the end? Li Zhiyong systematically analyzed the ideas between the three, and quoted Hegel's sentence, gave his own view: In the scale has already contained the essence, this in the product, the operation, the strategy embodiment is very good. Vision does not pull up or cognition is not deep, it is easy to repeat on the elephant level, see the fire, then the most important product, see Ali Fire, then the platform is the most important. In fact, a more obvious fact is that without an awl-like product, you will not be able to get up, not from the product upgrade to the platform, it is likely to survive. Of course, some people will say that the platform is also a product, but as humans and monkeys are primates, in fact, is still two species, where the difference is more interesting than the common denominator. Look at this team of soldiers in the mind and don't need too much of the whole Tieyun so sergeant if you can have 100,000 people don't even need more than 100,000 there is a 350,000 basic can sweep the world. Request for the collection of recommended votes members Click 57th Arrival Polyurethane Update Time 2011-10-10 19:46:27 Word Count 2475 look at the eyes that has been with his side masked big proud to laugh and pride tunnels I'm a good guy in this line of the team he because the identity of the high old man and du he is not afraid to have the slightest disrespect to him is not polite but he actually had to talk with the side of the road to talk about although sometimes be angry fuming but But never to anyone else. He knew that although he was rude to himself, he was the only one in the whole team who didn't want to die. As for the others, though they were polite to themselves, they wanted to kill themselves. In case they are safe, it is not impossible to give themselves a knife. 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Detailed data cleansing and feature processing in machine learning