大数据时代英文翻译

更新时间:2023-06-27 19:40:18 阅读: 评论:0

Era of Big Data is a woman's age; women in the gene can accumulate and deal with big data/ women are born to accumulate and deal with big data.
Many men and children, in fact, have been wondering about this special ability of women. Like, as a child, just as soon as you entered the hou your Mother said immediately in a suspicious tone: “Liu zhijun, you didn’t do well in the exam today, did you.”  Another example, you just have a glance at the mobile phone, your wife laughs: “Does Er gou the next door ask you to play games?” One more example, when you clo the door and make a phone call, your girlfriend will cry: “Who are shot in bed?
They are sometimes right, sometimes wrong. However, On the whole, the accuracy rate is higher than chance level. When they are wrong, men would sneer women always give way to foolish fancies; when they are right, men would say women are nsitive animal maybe with more acute nsory organs.
范围英语
Anyway, that is a guess. It has already scared man that overall accuracy rate is higher than the random level. In order to adapt to this point, the male also developed a very strong skill
s against reconnaissance. This part is beyond the scope of this article, so no more details about it.
Some studies, such as Hanna Holmes’s paper, have indicated that the white matter of the female’s brain is higher than that of the male.  So they have very strong imagination of connecting things together. Some recent studies have shown that women are better than men in the "date" memory. That is the reason why they are able to remember all the birthdays, anniversaries, and even some of the great day of unimportant friends.
No matter whether the results are true or not, I am afraid that this is not women's most outstanding ability. Women's most remarkable ability is a long-term tracking of some emingly unimportant data to form their own biophysicsbaline and pattern. Once the patterns of the bitemedata points are significantly different from the baline she is familiar with, she knows something unusual. 飞扬英语In their daily life, women do not consider the difference between causality and correlation. They believe in the principle: "There must be something wrong out of something unusual."
People who talk about big data often take Lin Biao as an example. Lin Biao recorded some detailed and unimportant data after a battle. 领扣Such as ized guns, the proportion of rifles and pistols, the age levels of war prisoners, ized grain, whether they are sorghum or millet, etc., all of which were unavoidably recorded in the book. Others laughed at him. But later, he determined where the enemy headquarters were according to the data.
What women do is almost the same. A girl A has a cret crush on boy B, but she usually doesn’t contact him directly. Two days later, I asked her if she wanted to ask him to have dinner together. She said he was playing. I wondered “how do you know that?” She said that boy B usually is on the line Gmail at 8:00 am, away status at8:30am, for he goes out to buy coffee and breakfast, on line again at 9:00am, busy status, for he is at work, away again at12:30am for lunch, on line for whole evenings, maybe for reading or playing games. His buddy C is on line at10:00 am, still online till 2:00am next day. He is a boy who gets up late and stays up late. His buddy D is on line for the most of the day. However, the most important pattern is that there are 2-3 days per week, during which they would be offline or away for 3-4 hours together. Conclusion: they are playing togethe
r.
I am convinced completely. I said “you are so great; this is big data” Some people say that it is really boring and why not ask directly? Of cour it doesn’t matter to ask some little things in life. But is it an outstanding ability to get answers to things with big data, which are not appropriate to ask grapein social situations?
Recently there are veral articles on predicting people’ IQ and interest, etc. through data mining the regularity of people showing prai in social networks. In fact, women often do such kind of things. Which girl dares to say that she never Google all guests before parties and never thoroughly check the blog, microblogging and Facebook of both the other party and relatives and friends at theproven是什么意思 start of a relationship?
I did it anyway. In the Information Age, I do such a thing without the slightest n of shame and never consider it as waste of time. Making friends and getting into a relationship雅思需要多少词汇量 are more important than buying a hou and a car, which have a more profound impact, so it is very important to do background investigation, especially of stran
gers.
It is far away from the point, now let’s back to how your mother found you did not do well in the test, how your wife knew you wantregardlessofed to go out to play games, how your girlfriend suspected that you had Mistress. Every day, they obrve what you look at, how many conds you keep looking, how long you spend on washing your face and brushing your teeth, how often you have a shave, where you put your slippers and how much you talk at the dinner table.
bitguardSomeday, you gaze at cell phone longer than before, squeeze the toothpaste to the edge of the pool suddenly, have an unexpected shave on a common occasion, put the slippers neatly, have no word at the table and enter another room soon and quietly after dinner, meanwhile closing the door lightly.
All the patterns together means "there must be something wrong out of something unusual."  When you, as a child, have a small mind, your mother is always the first to guess. She always said proudly: I gave birth to you, so how can’t I know what you are thi
nking about? In fact, the real trick is not becau she gave birth to you but becau she loves you. She has been watching you carefully and mentally recording all kinds of your biological signals, finally achieving such a marvelous degree. No nsor and algorithm can reach the level of the mother. But I do hope there will be nsor and algorithm clo to the mother's intimacy in the future to bring people real convenience in the data Era.

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