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39:38 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 house structures perceptron doorsteps (building) dspa building elements brain and nervous systems machine learning nerve cells listels (building) caption 48 complete effects deep learning cell (biology) mathematics house doors inc. artificial intelligence probability calculus From Tina Chang 0 likes 105 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 29th, 2017
31:04 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 statistics predictive analytics biological neural network analytics flu and influenza dspa elections business analytics educational assessment and evaluation caption 48 complete effects artificial neural network courses (education) machine learning parkinson's disease computer components artificial intelligence cross validation From Tina Chang 0 likes 39 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 29th, 2017
54:28 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 geometry (mathematics) examinations lexicology language vocabulary linguistics preprocessors (computing) words (linguistics) language technology job description text corpus caption 48 complete effects cosine (mathematics) courses (education) labor From Tina Chang 0 likes 65 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date July 1st, 2017
48:40 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 health care strategy ratio (mathematics) analytics heart transplants data science surgeons business analytics educational assessment and evaluation caption 48 complete effects mathematics predictive analytics parkinson's disease it optimization staff training probability calculus From Tina Chang 0 likes 28 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date July 1st, 2017
33:31 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 of… examinations health care strategy quality of life human hands corporate education computing performance adult and other education machine learning educational assessment and evaluation computation (information technology) effects mathematics algorithms artificial intelligence probability calculus 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 August 1st, 2017
49:02 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 examinations diseases mathematics quality of life margin of error corporate education human resource development management adult and other education pi (number) caption 48 complete effects chronic diseases and syndromes graph (mathematics) algorithms plums syndromes staff training probability calculus From Tina Chang 0 likes 78 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017
30:36 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 fraction (mathematics) employees human resources corporate education bad loans adult and other education machine learning education and upbringing educational assessment and evaluation caption 48 complete effects algorithms courses (education) education human resource development management staff training From Tina Chang 0 likes 118 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits S Creation Date August 1st, 2017
28:47 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 error (band) equation (math) support vector machine data visualization algebra (mathematics) studying examinations computation (information technology) functions and mappings business intelligence caption 48 complete effects mathematics baseball hospitals & clinics computing performance From Tina Chang 0 likes 78 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017
18:23 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 linguistics examinations data classification mathematics business intelligence language technology thomas bayes educational assessment and evaluation mathematicians text corpus caption 48 complete effects databases algorithms business analytics probability calculus From Tina Chang 0 likes 80 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017