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We are constantly dealing with all kinds of problems every day, and would like to solve these problems for timely decisions and actions. We may notice that for many of the daily-life problems, our decisions are often made spontaneously, swiftly without much consciousness. This is because we have been constantly learning to solve such problems in the past since we were born, and therefore the solutions have already been encoded in the neuron cells in our brain. When facing similar problems, our decision is spontaneous. For many complicated problems, especially in science and engineering, one would need to think harder and even conduct extensive research and study on the related issues before we can provide a solution. What if we want to give spontaneous reliable solutions to these types of problems as well? Some scientists and engineers may be able to do this for some problems, but not many. Those scientists are intensively trained or educated in specially designed courses for dealing with complicated problems. What if a normal layman would also like to be able solve these challenging types of problems? One way is to go through a special learning process. The alternative may be through machine learning, to develop a special computer model with a mechanism that can be trained to extract features from experience or data to provide a reliable and instantaneous solution for a type of problem.