User:CyborgDan

Science Review -- Work In Progress

-- Work In Progress --

Learning Computers For Dummies

-- Intro Required --

-- Common Misconceptions and Build Basis -- 1. There are a number of misconceptions of computer intelligence and machine learning. Machine Learning pertains to a computer being able to actively learn new concepts with out the aid of a human or some other medium. A machine can be intelligent, but still be unable to learn on its own. These form part of an area called intelligent systems, which does not coincide with machine learning. Even if the intelligent system was able to correlate peoples queries for the purpose of speeding up search times, for this still means a human has guided the system about what it needs to look for. So as a basis of this article all machine learning will pertain to the concept of total independent learning.

-- Human Learning and Machine Learning -- 2. Compared to a human being, even the most advanced machine learning algorithms cannot compare to the learning speed of a child. to gather a clear example of why this is we should compare the machine learning to that of a human. As mentioned earlier most machine learning takes place at a purely mathematical level, and can perform the tasks of deductive and inductive learning. Lets take a look at learning from a deductive basis, or the process of deducing a solution to a problem from a given situation. Human beings have the ability to think laterally and take deductive steps to arrive at a solution, however current computers cannot think laterally. So if you teach a computer what an orange looks like and smells like, and you were to paint it blue, the computer will not be able to deduce it is an orange, instead it will deduce its a round object that smells like an orange.

-- Algorithms and Hardware -- 3. There are a

-- References to be added --