Meta-analytics. Consensus approaches and system patterns for data analysis Steven Simske

Meta-analytics. Consensus approaches and system patterns for data analysis Steven Simske – Ebook Instant Download/Delivery ISBN(s): 9780128146231,0128146230,9780128146248, 0128146249

Product details:

• ISBN 10: 0128146249
• ISBN 13: 9780128146248
• Author: Steven Simske

Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use on any machine learning based data analysis task. The book virtually ensures that at least one pattern will lead to better overall system behavior than the use of traditional analytics approaches. The book is ‘meta’ to analytics, covering general analytics in sufficient detail for readers to engage with, and understand, hybrid or meta- approaches. The book has relevance to machine translation, robotics, biological and social sciences, medical and healthcare informatics, economics, business and finance.

Inn addition, the analytics within can be applied to predictive algorithms for everyone from police departments to sports analysts.

Table contents:

Chapter 1: Introduction, overview, and applications

Chapter 2: Ground truthing

Chapter 3: Experimental design

Chapter 4: Meta-analytic design patterns

Chapter 5: Sensitivity analysis and big system engineering

Chapter 6: Multipatch predictive selection

Chapter 7: Modeling and model fitting

Chapter 8: Synonym-antonym and reinforce-void patterns

Chapter 9: Analytics around analytics

Chapter 10: System design optimization

Chapter 11: Aleatory and expert system techniques

Chapter 12: Application I: Topics and challenges in machine translation, robotics, and biological sc

Chapter 13: Application II: Medical and health-care informatics, economics, business, and finance

Chapter 14: Discussion, conclusions, and the future of data

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