what you know about machine learning?
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As for as I am aware, u must be talking about to learn how to run the computer.
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Maybe you will find this article useful. It explains the concept of information entropy.
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Sounds like you may need to read books by Han and Kamber, Witten and Frank for a better understanding of the data mining process and algorithms.
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I hope you mean Neural Net.  It is a computer simulation (program) that mimics the brain activity in its simplest form.\n\nIt is used to learn by example.  That is if we want a computer program to learn to detect printed alphabets, then we feed the neural net (program) examples of alphabets (different alphabets, sizes, a bit changed once a while etc) and the true value.\n\nBy processing the error between the guess by the network and the actual value, it learns, like we learn to ride a bicycle.
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Fundamentals of computer science says that every thing that goes into computer is raw data, something like daily temperature records, population cencus etc and processing is done on that data,  ergo! you have information with you, that may be in the form of diagrams i.e similar to cricket worms, score cards shown on tv. Or it can be either statistical predictions of weather patterns......or population distribution charts based or gender, age, education etc.\n\nThere is real world examples, like banks, railways  that make use of computer processed information, and show it as and when needed.
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learn from your experience
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Artificial speech. Made by machine. Robot language
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Yes, but depending on the complexity of your problem. If your data is linearly separable, then a simple regression analysis will do. Use neural networks (such as backpropagation) only when the problem is hard.
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If we imagine a line continuum between machine and man, and place Induction, Deduction & Analogy on it. Induction will probably be closer to the machine and Analogy will be closer to man, with Deduction probably in the center.
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What do you need to know of it?  Post some extra info so we can help.
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As usual, Google knows.\n\nGoogle says:\n\n"Did you mean: neural networks"
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Text Mining is the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources. A key element is the linking together of the extracted information together to form new facts or new hypotheses to be explored further by more conventional means of experimentation.
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What do you know about it?
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That depends on your definition of intelligence.\n\nThis is just the way I see it, machine learning is a machine learning, by training or whatever process, how to execute a process rather than it being preprogrammed. An example of this is the adaptive programming in the engine control computers of cars that have been around for almost 20 years.\n\nArtificial intelligence would, in my opinion, not only would it learn what to do, but also decide when to do what it wants to do. Intelligence, at least partly, is the ability to make decisions without instruction and programming.\n\nI know that this is vague, but I am not sure if that is what you were looking for. Hope this helps.
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a hypothesis is an educated guess on a problem or experiment.
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Although our computing tools (such as our brain) are finite, but they can touch infinity through mathematical induction or recursion.\n\nFeeling finit ocuures for a neural network, when the data stored in it is going to overfow the nerons capacity.
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Your best bet is to go to your university library and look it up in the math and computer science section. There are books on this and if your library doesn't have them you can do an interlibrary loan to get them. To look extra smart, find an example in the literature and reference their work. Look up Peter Jurs' papers from Penn State University. They use genetic algorithms and neural networks to predict physical properties of molecules