Ideas in the statistical signal processing class

In the morning statistics signal processing class, the MHD teacher talked about the history of mathematical statistics, and suddenly found that he had been dealing with Bayes, Fisher, Pearson and other people for half a year, these names have appeared in all four lessons, and the shadows are not lost ......, these cool people are all children's minds. Some of them have a lot of degrees in psychology, sociology, and mathematics, and they can pat their heads to draw conclusions that are enough for the history. Looking at the contemporary academic world, it is difficult to find a person who can name himself with Newton, Gauss, and Einstein. People who put the previous head shoot practices in the present can only be dubbed civil scientists, disruptive theories are hard to see today, and in those passionate years, these things seem to be a treasure that the experts believe in. Although academic work has become a means of making a living, the threshold is getting higher and higher. Therefore, in order to be qualified for academic participation, we must enter kindergarten at the age of three. If it is fast, we generally get a doctorate degree at the age of 27 and have some original insights in a very narrow field, but Newton found the law of universal gravitation at the age of 23 in history. Einstein published his theory of relativity at the age of 26. Of course, Newton and Einstein are gods and cannot be compared with mortals, but those in their time will at least not study as hard as we do.

The explosive growth of knowledge and information, while the level of human cognition can only follow the evolution theory. In the foreseeable future, the learning time cost will increase. If one hundred years later, people will be able to learn what they want, and have the ability to create value and serve the society, it would be a pity!