That's where machine learning comes in. Machine learning is a field that combines artificial intelligence, computer programming, business and philosophy all in one.
World Telecommunication and Information Society Day tackles Big Data
But what is it? When your eyes take in information say, a charging water buffalo is running at you , your mind processes the data and makes a decision get out of the way! Machine learning is about computers taking in huge amounts of data and solving for the best outcome. Machine learning is a way for humans to solve problems without actually knowing how to solve them or why a particular approach works.
Machines can try out every possible choice and do it very fast. If there are a million options but only one of them is correct, computers can simulate all million events and systematically determine the correct outcome.
Council Post: Why Big Data And Machine Learning Are Important In Our Society
It tries every possible combination of potential attacks before coming up with the answer : "The only way to win a thermonuclear war is not to play. That movie was too idealistic for its time.
But machine learning in really can solve serious problems, especially for business and culture. Let's say you are a major product distributor. You sell hammers on a global scale. The question is, "Should we build another hammer factory? One approach would be to take a giant pile of data -- say, 50 million credit card receipts -- and try to guess if more people are buying hammers or fewer people are buying hammers. But how can you do this? Analyzing 50 million credit card records is going to take more than several lifetimes to do!
Machine learning and big data can solve this problem of hammers. Or at least they can point us in the right direction.
2. Misuse of personal information
There are all sorts of problems like this in the world, and big data and machine learning are beginning to sort them out. In , the European Union passed the General Data Protection Regulation, which has caused quite a stir in the software development community. Many bloggers have pointed out the GDPR seems to make certain types of machine learning illegal.
The jury is out about how regulation and machine learning will come together in the future. Everyone wants to be safe, and no one likes the idea of data about them floating around and getting into the wrong hands. But there is a real danger of political regulation missing the point when it comes to data. One concept that GDPR puts into play is the idea that you own the data about you and that you should be able to request it only be used for the purposes that it was collected.
Sounds good, right? Well, maybe, but with machine learning, computers can identify people in unusual ways that aren't readily apparent. There is a danger of a false sense of security about "your" data. Machine learning applications may be able to detect things about you that you might not otherwise understand. Actor Tom Cruise storms into a house in the suburbs of Washington and runs straight to the bedroom, just before the resident tries to stab his wife—whom he found in bed with another man—in the chest.
Cruise states his name is John Anderton, chief of a police unit focused on crime prevention, and arrests the man for the murder he was about to commit. This opening scene of the movie Minority Report suggests that in the year , predictions will be so exact that people will be arrested before they commit a crime.
Your personal data is valuable. Lateral thinker Jaron Lanier sketches similar scenarios but suggests an alternative view. Moreover, he wants people to reclaim their own economic destiny by creating a society that values the work of all industries and not just those with the fastest computer networks. How everything will be turned upside down in the new information society.
You may have been wondering since the beginning of this book what that blurry picture on the first page is. We have tested your patience long enough. That picture is there for a reason of course. We wanted to make a statement. Now that the existing world is reaching its limits, new equilibria are being created. In , the New York City authorities closed 42nd Street to traffic.
Many thought this would result in an enormous mess with many traffic jams because it was such an important thoroughfare.
The opposite was true however. The traffic flow in the entire area improved. However, his behavior changed significantly as well. The man started a relationship with a married woman and bought her a second home and a holiday home abroad.
taylor.evolt.org/nexov-sangueesa-aplicaciones.php Data analysis requires the switching off of preconceptions and expectations and the switching on of common sense. The number of suicides in that year was In the traditional passive education model, teachers are the owners of knowledge and information; they ask all the questions.