Algorithmic Learning
Algorithmic Learning is a subfield of machine learning that focuses on the design and analysis of algorithms that enable computers to learn from data. It involves developing algorithms that can automatically improve their performance with experience, without being explicitly programmed. Algorithmic Learning is concerned with the theoretical foundations of machine learning, including the study of the computational complexity of learning algorithms, the design of efficient learning algorithms, and the analysis of their statistical properties. It also involves the development of practical applications of machine learning, such as natural language processing, computer vision, and robotics.
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