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DSPA Chapter 20 Prediction and Internal Statistical Cross-validationChapter 20 uses Google Flu Trends, Autism, and Parkinson’s disease case-studies to illustrate (1) alternative forecasting types using linear and non-linear predictions, (2) exhaustive and…
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DSPA Chapter 19 Text Mining (TM) and Natural Language Processing (NLP)DSPA Chapter 19 Text Mining (TM) and Natural Language Processing (NLP)Natural Language Processing (NLP) and Text Mining (TM) refer to automated machine-driven algorithms for semantically mapping,…
From Tina Chang
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DSPA Chapter 4 Linear Algebra and Matrix ComputingDSPA Chapter 4 Linear Algebra and Matrix Computing Linear algebra is a branch of mathematics that studies linear associations using vectors, vector-spaces, linear equations, linear…
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DSPA Chapter 12: k-Means ClusteringDSPA Chapter 12: k-Means Clustering In this chapter, we will present (1) clustering as a machine learning task, (2) the silhouette plots for classification evaluation, (3) the k-Means clustering…
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DSPA Chapter 5 Dimensionality ReductionDSPA Chapter 5 Dimensionality Reduction Dimensionality reduction techniques enable exploratory data analyses by reducing the complexity of the dataset, still approximately preserving important…
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DSPA Chapter 3 Data VisualizationDSPA Chapter 3 Data Visualization In this chapter, we use a broad range of simulations and hands-on activities to highlight some of the basic data visualization techniques using R. A brief…
From Tina Chang
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DSPA Chapter 6: k-Nearest Neighbors ClassificationDSPA Chapter 6: k-Nearest Neighbors Classification In the next several chapters we will concentrate of various progressively advanced machine learning, classificaiton and clustering techniques.…
From Tina Chang
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DSPA OverviewDSPA Overview This Data Science and Predictive Analytics (DSPA) course is offered by Prof. Ivo Dinov at the University of Michigan. The package of materials collectively aim to provide learners…
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DSPA IntroductionData Science and Predictive Analytics (DSPA) course This open graduate course will provide a general overview of the principles, concepts, techniques, tools and services for managing,…
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