Reshaping Intelligent Business and Industry

List of Figures

1. 1.1 Components of artificial intelligence learning.
2. 1.2 Levels of artificial intelligence.
3. 1.3 AI classification on the basis of functionality.
4. 1.4 Components of artificial intelligence system.
5. 1.5 Subsets of artificial intelligence.
6. 1.6 Applications of artificial intelligence.
7. 2.1 Deep learning.
8. 2.2 Deep learning process.
9. 2.3 Convolutional neural network model.
10. 2.4 Edge computing.
11. 2.5 Sliding window.
12. 2.6 Region-based network (R-CNN).
13. 2.7 Fast R-CNN.
14. 2.8 Faster R-CNN.
15. 2.9 Single shot detector (SSD) framework.
16. 2.10 MobileNet SSD.
17. 2.11 You only look once (YOLO).
18. 2.12 Object detection performance.
19. 2.13 GOTURN.
20. 2.14 ROLO.
21. 2.15 Multiple object tracking (MOT).
22. 2.16 Tracktor++.
23. 2.17 Joint detection and embedding (JDE).
24. 2.18 Functional model.
25. 3.1 Search engine optimization.
26. 3.2 Web analytics.
27. 3.3 Web architecture.
28. 3.4 SEO testing.
29. 3.5 Yoast SEO testing.
30. 3.6 Google Analytics testing.
31. 3.7 Hit test.
32. 3.8 Structured data testing.
33. 3.9 Keyword research using KWFinder-1.
34. 3.10 Keyword research using KWFinder-2.
35. 3.11 Keyword research using SEOMoz.
36. 3.12 Adding meta details.
37. 3.13 Suggestion by Yoast SEO.
38. 3.14 Implementing GA code.
39. 3.15 Connect GA to data studio.
40. 3.16 Choosing the view.
41. 3.17 Adding data to report.
42. 3.18 Ranking result shown at the top of the SERP.
43. 3.19 Google Analytics capturing real-time data.
44. 4.1 The structured view of XAI.
45. 4.2 The need for XAI.
46. 4.3 Local explanation model.
47. 4.4 Global explanation model.
48. 6.1 Steps involved in predictive analytics.
49. 6.2 Process of ...