Bernhard Schölkopf is a prominent German computer scientist known for his contributions to the fields of machine learning, statistics, and artificial intelligence. He is particularly recognized for his work on kernel methods, support vector machines, and his research in transfer learning, causal inference, and the theoretical foundations of machine learning.
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