How to mod Artificial Intelligence 5.3 mod apk for android

Name: Artificial Intelligence.apk
ID: com.faadooengineers.free_artificialintelligence
Version: 5.3
Size: 6.8 Mb

Artificial Intelligence Screenshots

How to install Artificial Intelligence apk for android

- For Android 4.0 or higher:
Please to Settings, look down to Security, and select Unknown sources. Choosing this choice will enable to install apps download from the internet.
- For devices running on lower Android 4.0:
Please go to Settings - open the Applications option, and select Unknown sources, click OK on the popup alert.

Artificial Intelligence Description

Complete Free handbook of Artificial Intelligence for Engineering, STEM. Machine learning students with diagrams and graphs. It also brings the blog where you can contribute your work in addition to university, research & Industry news on the subject.
Artificial Intelligence (AI) App is a Handbook for easy understanding the Artificial Intelligence (AI) as a subject. Extremely useful for engineering students and one of the best app in Engineering Education.
It covers more than 140 topics of Artificial Intelligence in detail. The topics are divided in 5 units.
Some of topics Covered in this application are:
1. Turing test
2. Introduction to Artificial Intelligence
3. History of AI
4. The AI Cycle
5. Knowledge Representation
6. Typical AI problems
7. Limits of AI
8. Introduction to Agents
9. Agent Performance
10. Intelligent Agents
11. Structure Of Intelligent Agents
12. Types of agent program
13. Goal based Agents
14. Utility-based agents
15. Agents and environments
16. Agent architectures
17. Search for Solutions
18. State Spaces
19. Graph Searching
20. A Generic Searching Algorithm
21. Uninformed Search Strategies
22. Breadth-First Search
23. Heuristic Search
24. A∗ Search
25. Search Tree
26. Depth first Search
27. Properties of Depth First Search
28. Bi-directional search
29. Search Graphs
30. Informed Search Strategies
31. Methods of Informed Search
32. Greedy Search
33. Proof of Admissibility of A*
34. Properties of Heuristics
35. Iterative-Deepening A*
36. Other Memory limited heuristic search
37. N-Queens eample
38. Adversarial Search
39. Genetic Algorithms
40. Games
41. Optimal decisions in Games
42. minimax algorithm
43. Alpha Beta Pruning
44. Backtracking
45. Consistency Driven Techniques
46. Path Consistency (K-Consistency)
47. Look Ahead
48. Propositional Logic
49. Syntax of Propositional Calculus
50. Knowledge Representation and Reasoning
51. Propositional Logic Inference
52. Propositional Definite Clauses
53. Knowledge-Level Debugging
54. Rules of Inference
55. Soundness and Completeness
56. First Order Logic
57. Unification 58. Semantics
59. Herbrand Universe
60. Soundness, Completeness, Consistency, Satisfiability
61. Resolution
62. Herbrand Revisited
63. Proof as Search
64. Some Proof Strategies
65. Non-Monotonic Reasoning
66. Truth Maintenance Systems
67. Rule Based Systems
68. Pure Prolog
69. Forward chaining
70. backward Chaining
71. Choice between forward and backward chaining
72. AND/OR Trees
73. Hidden Markov Model
74. Bayesian networks
75. Learning Issues
76. Supervised Learning
77. Decision Trees
78. Knowledge Representation Formalisms
79. Semantic Networks
80. Inference in a Semantic Net
81. Extending Semantic Nets
82. Frames
83. Slots as Objects
84. Interpreting frames
85. Introduction to Planning
86. Problem Solving vs. Planning
87. Logic Based Planning
88. Planning Systems
89. Planning as Search
90. Situation-Space Planning Algorithms
91. Partial-Order Planning
92. Plan-Space Planning Algorithms
93. Interleaving vs. Non-Interleaving of Sub-Plan Steps
94. Simple Sock/Shoe Example
95. Probabilistic Reasoning
96. Review of Probability Theory
97. Semantics of Bayesian Networks
98. Introduction to Learning
99. Taxonomy of Learning Systems
100. Mathematical formulation of the inductive learning problem
101. Concept Learning
102. Concept Learning as Search
103. Algorithm to Find a Maximally-Specific Hypothesis
104. Candidate Elimination Algorithm
105. The Candidate-Elimination Algorithm
106. Decision Tree Construction
107. Splitting Functions
108. Decision Tree Pruning
109. Neural Networks
110. Artificial Neural Networks
111. Perceptron
112. Perceptron Learning

IMPORTANT LINKS
Website:http://www.engineeringapps.net/

What's new in Artificial Intelligence 5.3

We have made it much Lighter and Faster
Integrated Website http://engineeringapps.net integrations for contributions.
Now contribute, edit, delete your posts from your laptop or computer as well.
Picture support, full editor support from website.
Other additions are:
Facebook login integration
Added more apps section
GCM integration
Advertisement management
Likes
Social sharing
Report abuse
News Feeds
Lots of suggestions on how to use at various steps.

Artificial Intelligence | 196 Reviewers | 2016-21-06 12:00:00 SA | Rating: 3.7

Download Artificial Intelligence 5.3 mod APK

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