Executive Development Programme in Multi-label Classification
-- ViewingNowThe Executive Development Programme in Multi-label Classification is a comprehensive certificate course designed for professionals seeking to enhance their machine learning skills. This program underscores the importance of multi-label classification in modern data science, addressing the complexities of categorizing data into multiple relevant labels.
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โข Introduction to Multi-label Classification: Definition, Use Cases, Evaluation Metrics
โข Data Preparation: Data Preprocessing, Feature Selection, Imbalanced Data Handling
โข Multi-label Classification Techniques: Binary Relevance, Classifier Chain, Label Powerset
โข Probabilistic Models: BR-RAKEL, CC-RAKEL, Classifier Mixture
โข Neural Networks for Multi-label Classification: Siamese Networks, CNNs, RNNs
โข Ensemble Methods: Random k-labelsets, Adaboost.MH
โข Evaluation and Comparison: Experimental Design, Model Selection, Hyperparameter Tuning
โข Ethics in AI and Multi-label Classification: Bias, Discrimination, Explainability
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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