The team has developed a series of algorithms for ML automation based on the SLeM framework, demonstrating its effectiveness in enhancing the adaptive learning capabilities of existing ML methods.

Specialization: Machine LearningInstructor: Geena Kim, Assistant Teaching ProfessorPrior knowledge needed: Calculus, Linear algebra, PythonLearning Outcomes Explain what unsupervised learning is, and ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

It doesn’t take much to make machine-learning algorithms go awry The rise of large-language models could make the problem worse ...