531 results on '"Nisbet, Robert"'
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2. Foreword
3. Prediction of pancreatic and lung cancer from metabolomics data
4. Prologue to Part III
5. Practical step-by-step tutorials and case studies
6. Covid-19 descriptive analytics visualization of pandemic and hospitalization data
7. History of predictive analytics in medicine and healthcare
8. Predictive analytics with multiomics data
9. Data and process models in medical informatics
10. Modeling precancerous colon polyps with OMOP data
11. The Coming of Age of Data Analytics in Higher Education
12. The Illusions of Progress
13. S418 A Prediction Algorithim for Neoplasia in First Time Screening Colonoscopy
14. Radicalism in the Contemporary Age
15. The Function of the Vision of the Future in Radical Movements
16. Tutorial G - Modeling hospice residence stay with KNIME
17. Tutorial E - Feature selection using KNIME
18. Drought modulated by North Atlantic sea surface temperatures for the last 3,000 years along the northwestern Gulf of Mexico
19. The Student Revolution
20. The Academic Bourgeoisie
21. The Future of the Academic Community
22. The Degradation of the Academic Dogma
23. The Politicization of the University
24. The New Men of Power
25. The Cult of Individuality
26. The Academic Dogma
27. The Search for Academic Community
28. The Higher Capitalism
29. The Last Reformation
30. The Academic Community
31. The Yield of Academic Feudalism
32. The Deluge of Humanitarianism
33. Model Evaluation and Enhancement
34. Fraud Detection
35. Accessory Tools for Doing Data Mining
36. Data Understanding and Preparation
37. Numerical Prediction
38. Basic Algorithms for Data Mining: A Brief Overview
39. The “Right Model” for the “Right Purpose”: When Less Is Good Enough
40. Using Customer Churn Data to Develop and Select a Best Predictive Model for Client Defection Using STATISTICA Data Miner 13 64-bit for Windows 10
41. Classification
42. Introduction
43. The Background for Data Mining Practice
44. Advanced Algorithms for Data Mining
45. Predictive Analytics for Population Health and Care
46. Feature Selection
47. A Data Preparation Cookbook
48. Significance versus Luck in the Age of Mining: The Issues of P -Value “Significance” and “Ways to Test Significance of Our Predictive Analytic Models”
49. Theoretical Considerations for Data Mining
50. Deep Learning
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