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DSPA Chapter 22 Deep Learning

Chapter 22 demonstrates the R deep learning package MXNetR and demonstrate state-of-the-art deep learning models utilizing CPU and GPU for fast training (learning) and testing (validation).

From  Tina Chang on August 30th, 2017 0 likes 78 plays 0  

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 13 Model Evaluation

DSPA Chapter 13 Model Evaluation In this chapter, we will discuss (1) various evaluation strategies for prediction, clustering, classification, regression, and decision trees, (2) visualization of…

From  Tina Chang on July 17th, 2017 0 likes 13 plays 0  

DSPA Chapter 14 Improvement of Model Performance

DSPA Chapter 14 Improvement of Model Performance We already explored several alternative machine learning (ML) methods for prediction, classification, clustering and outcome forecasting. In many…

From  Tina Chang on July 17th, 2017 0 likes 16 plays 0