See how big Data affects you and my life.

Source: Internet
Author: User
Keywords Large data can pass course

If it's March or December, you have to be careful-you're probably going to have to break up. But if it's Christmas, you'll be in a good state of love. Because Christmas is the time of year when the number of breakups is the least. Can you imagine? This is not a prophet's prophecy, but the result of using large data analysis.

Now that the big data is hot, its commercial applications and values are obvious to all, but what does it do for ordinary people?

December 11, a café in Sanlitun, Beijing. Along with the soft music, the science and technology Daily reporter began with the "Big Data Cloud" book author David Finreb-This is known as "large Data Business Application Guide" dialogue, listen to him about how big data is changing our lives, learning and even the way of love.

--Athletics--

Big Data helps you quantify self improvement

"I was fascinated by the big data when I was doing triathlon training in France," he said. I keep track of every mountain I've climbed, every road I've run, and all the miles I've had in the icy waters of the San Francisco Water Park. Then, to make it easier for me to review, visualize and analyze these data, I uploaded all of this information to a website called Garmin Connect, which was created by the well-known inventor of GPs. "David Finreb said, while exercising, he would wear a built-in GPS watch, record altitude gain and loss, speed, cycling per minute, calorie consumption and heart rate data, and then analyze data transferred to the site, Garmin Connect will be the athlete's best" coach ".

The reporter opens the Garmin Connect website, first sees is a group of numbers, this is all uses the user to upload the movement data to this website to obtain the mileage, but this group of numbers each minute every second is increasing continuously.

After registering to enter the main page, on the left side you can see "recent activities", shows you the exact date and time of each movement, the middle of the page, you can visually see the trajectory of each movement, the following record of the movement of the distance, how much time spent, the calories consumed, the average speed, increased height and other information. Under the main page, you can see the progress you have made so far in your personal goals.

In Garmin connect you can query the previous upload of every movement file, and can be edited. A simple table records the data that you generate for each movement. Click on one of these, for example, click on a cycling event you uploaded, you can see a very detailed set of data including exercise time, elapsed time, average velocity, maximum speed, height increase, height reduction, minimum elevation, altitude, heart rate, minimum temperature, maximum temperature, etc., which are visually demonstrated by a series of profile diagrams. With this data, you can understand scientifically what level you have reached.

In addition, Garmin Connect can generate a motion report of your own that allows you to analyze the data produced by all sports activities in the past week, near January, and nearly a year, and see what average level you have achieved during this period. You can Garmin connect analysis of the data to find their own shortcomings, through the most scientific way to carry out targeted training, and then to improve their competitive level.

One might think that collecting, storing and analyzing such a large amount of data would cost thousands or even tens of thousands of dollars. But the fact is, such a built-in GPS watch can be bought without 100 dollars, and the site itself provides free service. "The ability to collect large amounts of data and 0 of the cost of storing and analyzing large amounts of data-a combination of low-cost devices and applications is highlighting the power of large data: It serves not only large enterprises, but also the masses." "Here, David Finreb is quite proud.

-Social-

Big Data allows you to date online successfully

2011, the world's largest matchmaking website Match.com acquired the online dating site OkCupid. OkCupid has used a lot of data to conduct a series of studies to explore what kind of personal data is the most successful online dating profile.

The site's researchers analyze more than 7,000 personal photos and determine which photos are best for online dating, based on the amount of information each user receives. Of course, just getting more dating information isn't necessarily a good thing, and quality is often more important than quantity.

The researchers grouped photos into 3 categories: flirting, smiling, and serious. A flirt is a person who "flirts directly with the camera", unlike a smile or a face that looks happy. It turns out that women who flirt with their pictures receive a little more information each month than others, and they receive more informative than those who are classified as serious. Without regard to facial expressions, overall, people who have no eye contact with lenses receive less information than those who have eye contact. In contrast to women, men are most likely to succeed in women when they use photographs that do not look at the lens and are more serious in their data. Men who use photos that look like they are flirting and don't look at the camera are the hardest to date.

Surprisingly, showing up in a photo doesn't affect the amount of information you receive. Women who face Ureteroscope in the photos receive an average of 8.69 messages a month, while women who do not show up on average receive 8.66 a month. The men who used the photos had 5.91 successful dates every 10 times, while the men who did not show up had 5.92 successful women in every 10 attempts.

So the researchers came to the conclusion that photographs can explain everything. The photo arouses the curiosity of the visitor, which shows a great extent of who the protagonist is. "All this means that big data is not just a business tool, but it can also show us how best to present ourselves in order to find the right one, given the right data source." Of course, the data also tells us that you can't ignore the importance of choosing the right photos. "David Finreb said.

In fact, in David Finreb's view, the social significance of big data is much more than that. It provides us with an insight into the external environment surrounding our relationship. The big data helps us determine whether a friend or relative is suffering, such as a doubling of stress or being divorced, unemployed or degrees, by confirming that he or she is less communicative than usual. At the same time, by making communication easier, large data can deepen existing relationships and support the creation of new relationships.

--Education--

Big Data helps you learn more effectively

A survey shows that in the OECD countries, the United States has the highest dropout rate in universities, of which only 46% of college students can get a degree. Many students drop out because of the high cost of education.

Big Data may change the situation. With large data analysis, the new online education platform can predict what kind of educational model students are better at, helping them to get back on the right track and not let them drop out of school.

At Arizona, State State University in the United States, the dean of the school, Elizabeth Capardi, pioneered the e-consulting system, which tracks students who have not been able to complete major courses, have dropped out of school, makes full use of data to recommend more appropriate courses for them, and helps college students determine whether they have deviated from the track of their chosen profession, So that the school's student retention rate rose from 77% to 84%.

"The system can differentiate the pros and cons of each student," says the popular point. Just like we usually do test experiments, it will allow each student to do a set of test questions, if a student's answer is a, then jump to a question, if the answer is B, then jump to another question, after the test, the level of different students will get the most suitable for his course recommendation results. David Finreb explained that the system would also compare the student's data with the data collected by the other thousands of students in order to provide him with the most appropriate course recommendations.

This increasing transparency extends from students to teachers to school administrators. Students have a better understanding of their own situation, teachers from each student's situation to the whole class are well aware of, managers are also from the perspective of the whole school to open what courses useful, what courses are useless. So, they can sum up what kind of education plan, software and method is the most effective, and adjust the general curriculum accordingly.

"This is an exciting moment for big data and education. David Finreb said that after the application of education, large data can not only find out the students will drop out of school, but also for students to tailor the content of the study, which will improve the quality of teaching and improve the level of students also play a greater role.

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