The major goal of machine learning research is to develop general-purpose algorithms to gain practical insights. These kinds of algorithms are efficient. Like always, as computer scientists, we take care of certain things like time and space efficiency. We also pay attention towards the great learning. We also deal with the amount of data we need for algorithms.
We always thrive for very simple algorithms to learn and solve problems. Our main objective is to predict the outcome of learning, to be as accurate as possible in the predictions it makes. Very rarely, we may also be interested in the interpretation of the rules of assessment produced by learning.
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