Efficient Learning Algorithms
Efficient learning algorithms refer to machine learning algorithms that can learn from data in a computationally efficient manner. These algorithms are designed to minimize the computational resources required to train a model while still achieving high accuracy. Efficient learning algorithms are particularly important in big data applications where the size of the data set can be very large. Examples of efficient learning algorithms include stochastic gradient descent, mini-batch gradient descent, and online learning algorithms.
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