UNIT 1:
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Data Science Life Cycle, Tools, Applications
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Big Data Types, Characteristics, Tools and Applications
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Data Analytics Types, Tools and Applications; Data and Relations
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Set and Matrix Representations
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Similarity Measures, Dissimilarity Measures
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Sequence Relations, Sampling and Quantization
UNIT 2:
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Multidimensional Scaling
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Data pre-processing: Error Types Error Handling
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Data Transformation
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Auto Associator
UNIT 3:
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Finite State Machines, Recurrent Models Autoregressive Models
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Radial Basis Function Networks
