Global Certificate in Text Clustering for a Data-Driven World
-- ViewingNowThe Global Certificate in Text Clustering for a Data-Driven World is a comprehensive course that empowers learners with the essential skills needed to thrive in today's data-driven world. This course focuses on text clustering, an increasingly important technique used to extract valuable insights from large textual datasets.
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โข Introduction to Text Clustering: Basic concepts, importance, and applications of text clustering
โข Data Preprocessing: Data cleaning, normalization, tokenization, and stemming
โข Feature Extraction: Techniques for transforming text data into numerical features
โข Distance Metrics: Measures for calculating similarity between text documents
โข Clustering Algorithms: Hierarchical, K-means, DBSCAN, and other popular clustering methods
โข Evaluation Metrics: Internal and external validation techniques for clustering results
โข Scalability Solutions: Parallel and distributed processing for large-scale text clustering
โข Real-World Applications: Case studies on using text clustering in business, finance, healthcare, and social media
โข Ethics and Bias: Addressing fairness, transparency, and privacy concerns in text clustering
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