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Курс от National Taiwan University
courseraАнализ данных
機器學習技法 (Machine Learning Techniques)
Курс от National Taiwan UniversityО курсе
The course extends the fundamental tools in "Machine Learning Foundations" to powerful and practical models by three directions, which includes embedding numerous features, combining predictive features, and distilling hidden features. [這門課將先前「機器學習基石」課程中所學的基礎工具往三個方向延伸為強大而實用的工具。這三個方向包括嵌入大量的特徵、融合預測性的特徵、與萃取潛藏的特徵。]
Навыки, которые вы освоите
Machine Learning AlgorithmsClassification AlgorithmsArtificial Neural NetworksModel OptimizationDecision Tree LearningRandom Forest AlgorithmSupervised LearningAutoencodersMachine LearningMachine Learning MethodsApplied Machine LearningModel TrainingEmbeddingsDeep LearningModel EvaluationDimensionality ReductionRegression AnalysisStatistical Machine LearningPredictive ModelingFeature Engineering
Программа курса
16 модулей · 73 учебных материалов
01第一講：Linear Support Vector Machine9 материалов
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林軒田
教授 (Professor)