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DSPA Chapter 22 Deep Learning duration 39 minutes 38 seconds DSPA Chapter 22 Deep Learning DSPA Chapter 22 Deep Learning	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). examinations +18 More From Tina Chang 0 likes 111 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 29th, 2017
DSPA Chapter 21 Function Optimization duration 23 minutes 24 seconds DSPA Chapter 21 Function Optimization DSPA Chapter 21 Function Optimization	DSPA Chapter 21 Function Optimization Chapter 21 covers (1) constrained and unconstrained optimization, (2) Lagrange multipliers, (3) linear, quadratic and (general) non-linear programming, and (4) data denoising. mathematical sciences +12 More From Tina Chang 0 likes 29 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 29th, 2017
DSPA Chapter 20 Prediction and Internal… duration 31 minutes 4 seconds DSPA Chapter 20 Prediction and Internal… DSPA Chapter 20 Prediction and Internal Statistical Cross-validation	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… examinations +18 More From Tina Chang 0 likes 41 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 29th, 2017
DSPA Chapter 19 Text Mining (TM) and Natural… duration 54 minutes 28 seconds DSPA Chapter 19 Text Mining (TM) and Natural… DSPA Chapter 19 Text Mining (TM) and Natural Language Processing (NLP)	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,… text mining +16 More From Tina Chang 0 likes 69 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date July 1st, 2017
DSPA Chapter 18 Big Longitudinal Data Analysis… duration 42 minutes 39 seconds DSPA Chapter 18 Big Longitudinal Data Analysis… DSPA Chapter 18 Big Longitudinal Data Analysis (Timeseries GEE GLMM SEM)	DSPA Chapter 18 Big Longitudinal Data Analysis (Timeseries GEE GLMM SEM) DSPA Chapter 18 Big Longitudinal Data Analysis (Timeseries GEE GLMM SEM)The time-varying (longitudinal) characteristics of large information flows represent a special case of the complexity,… mathematical sciences +16 More From Tina Chang 0 likes 67 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date July 1st, 2017
DSPA Chapter 16 (Variable Selection) duration 22 minutes 31 seconds DSPA Chapter 16 (Variable Selection) DSPA Chapter 16 (Variable Selection)	DSPA Chapter 16 (Variable Selection) DSPA Chapter 16 (Variable Selection) As we mentioned in Chapter 15, variable selection is very important when dealing with bioinformatics, healthcare, and biomedical data where we may have more… mathematical sciences +16 More From Tina Chang 0 likes 35 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date July 1st, 2017
DSPA Chapter 17 (Regularized Linear Modeling and… duration 48 minutes 40 seconds DSPA Chapter 17 (Regularized Linear Modeling and… DSPA Chapter 17 (Regularized Linear Modeling and Controlled Variable Selection)	DSPA Chapter 17 (Regularized Linear Modeling and Controlled Variable Selection) DSPA Chapter 17 (Regularized Linear Modeling and Controlled Variable Selection) Classical techniques for choosing important covariates to include in a model of complex multivariate data relied on… examinations +16 More From Tina Chang 0 likes 36 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date July 1st, 2017
DSPA Chapter 4 Linear Algebra and Matrix Computing duration 46 minutes 48 seconds DSPA Chapter 4 Linear Algebra and Matrix Computing DSPA Chapter 4 Linear Algebra and Matrix Computing	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… mathematical sciences +16 More From Tina Chang 0 likes 114 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017
DSPA Chapter 15 Specialized ML Techniques duration 46 minutes 21 seconds DSPA Chapter 15 Specialized ML Techniques DSPA Chapter 15 Specialized ML Techniques	DSPA Chapter 15 Specialized ML Techniques DSPA Chapter 15 Specialized ML Techniques In this chapter, we will discuss some technical details about data formats, streaming, optimization of computation, and distributed deployment of… data modelling +16 More From Tina Chang 1 likes 20 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017
DSPA Chapter 12: k-Means Clustering duration 35 minutes 28 seconds DSPA Chapter 12: k-Means Clustering DSPA Chapter 12: k-Means Clustering	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… mathematics +16 More From Tina Chang 0 likes 62 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017
DSPA Chapter 13 Model Evaluation duration 33 minutes 31 seconds DSPA Chapter 13 Model Evaluation DSPA Chapter 13 Model Evaluation	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… examinations +14 More From Tina Chang 0 likes 46 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017
DSPA Chapter 14 Improvement of Model Performance duration 20 minutes 33 seconds DSPA Chapter 14 Improvement of Model Performance DSPA Chapter 14 Improvement of Model Performance	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… correspondence +16 More From Tina Chang 0 likes 25 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017
DSPA Chapter 8 Decision Tree Classification duration 49 minutes 2 seconds DSPA Chapter 8 Decision Tree Classification DSPA Chapter 8 Decision Tree Classification	DSPA Chapter 8 Decision Tree Classification DSPA Chapter 8 Decision Tree Classification In this chapter, we will (1) see a simple motivational example of decision trees based on the Iris data, (2) describe decision-tree divide and conquer… and disorders +18 More From Tina Chang 0 likes 98 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017
DSPA Chapter 5 Dimensionality Reduction duration 50 minutes 23 seconds DSPA Chapter 5 Dimensionality Reduction DSPA Chapter 5 Dimensionality Reduction	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… mathematics +16 More From Tina Chang 0 likes 115 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017
DSPA Chapter 10: SVM Classification duration 37 minutes 26 seconds DSPA Chapter 10: SVM Classification DSPA Chapter 10: SVM Classification	DSPA Chapter 10: SVM Classification DSPA Chapter 10 SVM Classification In this chapter, we are going to cover two very powerful machine-learning algorithms. These techniques have complex mathematical formulations, however,… mathematical sciences +13 More From Tina Chang 0 likes 59 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017
DSPA Chapter 11 Apriori Association Rule Learning duration 34 minutes 31 seconds DSPA Chapter 11 Apriori Association Rule Learning DSPA Chapter 11 Apriori Association Rule Learning	DSPA Chapter 11 Apriori Association Rule Learning DSPA Chapter 11 Apriori Association Rule Learning HTTP cookies are used to track web-surfing the Internet traffic. We often notice that promotions (ads) on websites tend to match our needs,… drugs and medicines +16 More From Tina Chang 0 likes 22 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017
DSPA Chapter 3 Data Visualization duration 40 minutes 22 seconds DSPA Chapter 3 Data Visualization DSPA Chapter 3 Data Visualization	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… algebra (mathematics) +16 More From Tina Chang 0 likes 237 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017
DSPA Chapter 6: k-Nearest Neighbors Classification duration 30 minutes 36 seconds DSPA Chapter 6: k-Nearest Neighbors Classification DSPA Chapter 6: k-Nearest Neighbors Classification	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.… examinations +16 More From Tina Chang 0 likes 157 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits S Creation Date August 1st, 2017
DSPA Chapter 9: Regression Classification duration 28 minutes 47 seconds DSPA Chapter 9: Regression Classification DSPA Chapter 9: Regression Classification	DSPA Chapter 9: Regression Classification DSPA Chapter 9: Regression Classification In previous chapters (6, 7, and 8), we covered some classification methods that use mathematical formalism to address everyday life prediction problems.… mathematical sciences +16 More From Tina Chang 0 likes 91 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017
DSPA Chapter 7 Naive Bayes Classification duration 18 minutes 23 seconds DSPA Chapter 7 Naive Bayes Classification DSPA Chapter 7 Naive Bayes Classification	DSPA Chapter 7 Naive Bayes Classification DSPA Chapter 7 Naive Bayes Classification Please review the introduction to Chapter 6, where we described the types of machine learning methods and presented lazy classification for numerical… mathematical sciences +16 More From Tina Chang 0 likes 97 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017