Executive Development Programme in Clustering for Data Scientists
-- ViewingNowThe Executive Development Programme in Clustering for Data Scientists is a certificate course designed to provide professionals with advanced knowledge and skills in data analysis. This program focuses on clustering, a crucial technique in machine learning and data mining, which helps in grouping unlabeled data points into distinct categories.
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โข Introduction to Clustering: Defining clustering, use cases, and primary algorithms
โข K-Means Clustering: Explanation, advantages, limitations, and real-world examples
โข Hierarchical Clustering: Agglomerative and divisive methods, linkage criteria, and visualization
โข DBSCAN (Density-Based Spatial Clustering of Applications with Noise): Concept, parameters, and performance
โข Cluster Evaluation Metrics: Internal, external, and relative evaluation methods
โข Real-world Case Studies: Applying clustering techniques in various industries
โข Scalable Clustering Algorithms: Techniques for handling large datasets and high-dimensional data
โข Dimensionality Reduction: Principal Component Analysis (PCA) and t-distributed Stochastic Neighbor Embedding (t-SNE)
โข Deep Learning for Clustering: Self-organizing maps, autoencoders, and clustering with neural networks
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