Soft computing is related to, but different from machine learning. Soft computing is more of a loose term that refers to the application of methods based on mathematics, computer science, and artificial intelligence that are often found in the field of machine learning. Soft computing focuses on the design and development of computer systems that have the ability to learn, self-organize, and adapt to changing conditions. Machine learning, by contrast, is a more specific field of computer science and Artificial Intelligence (AI) that uses algorithms to build models to predict outcomes, understand data sets, and learn from data. Machine learning algorithms generally have more defined objectives and rules than those found in soft computing, making them better equipped to identify complex patterns in data sets.
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