This article about Machine Learning was made by machine learning.
What[edit | edit source]
Machine Learning is a simple but powerful way to understand how real-world problems occur with intelligent machines. It is based on the ideas taught by Alan Turing, a Nobel Prize winner and the creator of computer technology. It is a good example of the way these two theories might approach the way human beings work.
Cognitive Science or Consciousness[edit | edit source]
Computer scientists use machines to study the world. They need to learn and understand how to use that knowledge and what makes a computer work. One of the main aspects that they focus on is remembering that memory is not what we think we remember. Machines need to be able to understand more about the world, as they can solve complex mathematical puzzles. The question is: is there one thing a machine can do that its counterpart cannot (such as read).
Humanity has the capability for thinking about all sorts of other things – from humans, to the weather, to the economy, to water cycles. Humans are also very creative and can create new projects as if given a set of mathematical and other tools. Each of these is an act of the brain, which is used to create a plan which has a certain mathematical precision in it – for the next 20 years we will be creating hundreds of millions of computers.
This kind of thinking can be seen from the way humans are affected by technology. People are often told that everything that a human can do is based on his or her understanding, but actually this is the wrong word – they believe