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DSPA Chapter 20 Prediction and Internal Statistical Cross-validation

Chapter 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…

From  Tina Chang on August 30th, 2017 0 likes 31 plays 0  

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 on July 17th, 2017 0 likes 52 plays 0  

DSPA Chapter 4 Linear Algebra and Matrix Computing

DSPA 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 transformations…

From  Tina Chang on July 17th, 2017 0 likes 58 plays 0  

DSPA Chapter 12: k-Means Clustering

DSPA 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…

From  Tina Chang on July 17th, 2017 0 likes 0 plays 0  

DSPA Chapter 5 Dimensionality Reduction

DSPA Chapter 5 Dimensionality Reduction Dimensionality reduction techniques enable exploratory data analyses by reducing the complexity of the dataset, still approximately preserving important…

From  Tina Chang on July 17th, 2017 0 likes 64 plays 0  

DSPA Chapter 3 Data Visualization

DSPA 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 on July 17th, 2017 0 likes 107 plays 0  

DSPA Chapter 6: k-Nearest Neighbors Classification

DSPA 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 on July 17th, 2017 0 likes 49 plays 0  

DSPA: Chapter 1 Foundations of R

DSPA: Chapter 1 Foundations of R This chapter introduces the foundations of R programming for visualization, statistical computing and scientific inference. Specifically, in this chapter we will…

From  Ivaylo D Dinov on June 15th, 2017 0 likes 379 plays 0  

DSPA Overview

DSPA 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…

From  Tina Chang on June 15th, 2017 0 likes 212 plays 0  

DSPA Introduction

Data 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,…

From  Tina Chang on June 15th, 2017 0 likes 154 plays 0