Introduction to Machine Learning∗
Abstract
Most complex machines or software utilize algorithms, which is a methodology defined to solve a specific problem. In some cases, the algorithm has an adaptive capability, allowing the algorithm to adapt for varying conditions. In contrast, machine learning does not have specific algorithm. Rather, it has a basic structure, to process data and produce outputs. The structure typically contains thousands or millions of weights, or coefficients. These weights are determined by passing data, lots of data, through the structure and updating the weights during a feedback process where the results are usually known in advance, to produce the desired output. This weight updating is called training, and ...
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