Data Science and Artificial Intelligence

Computer Science

1. Models 100%
2. User 34%
3. Application 30%
4. Domains 29%
5. Algorithms 27%
6. Networks 22%
7. Design 21%
8. Representation 20%
9. Machine Learning 18%
10. Evaluation 17%
11. Artificial Intelligence 15%
12. Semantics 14%
13. Contexts 14%
14. Reasoning 13%
15. Classes 12%
16. Detection 12%
17. Real World 11%
18. Simulation 11%
19. Standards 11%
20. Probability 11%
21. Visualization 11%
22. Computation 10%
23. Functions 10%
24. Optimization 10%
25. Control 9%
26. Accuracy 9%
27. Computer 9%
28. Case Study 9%
29. Programs 8%
30. Service 8%
31. Communication 8%
32. Events 8%
33. Complexity 8%
34. Classification 7%
35. Generation 7%
36. Adaptive System 7%
37. Sensor 7%
38. Specifications 7%
39. Parkinson's Disease 7%
40. Workflows 7%
41. Research Worker 7%
42. Roles 7%
43. Generative Model 7%
44. Autoencoder 6%
45. Survey 6%
46. Approximation (Algorithm) 6%
47. Classifier 6%
48. Deep Learning 5%
49. Robot 5%
50. Neural Network 5%
51. Modeling 5%
52. Argumentation 5%
53. Knowledge Base 5%
54. Records 5%
55. Annotation 5%
56. Data Collection 5%