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Machine Learning and Artificial Intelligence Tutorial

This section contains latest tutorials, articles on Machine learning and Artificial Intelligence.

Here is the list to the articles of Artificial Intelligence, Machine Learning and Machine Learning with Java.

ML/AI - Overview

1. Machine Learning, AI, Deep Learning, and Data Science
2. How to Learn Machine Learning and Artificial Intelligence?

Artificial Intelligence

1. Introduction to Artificial Intelligence
2. Artificial Intelligence: What It is, Types, Applications, Advantages and Disadvantages
3. Artificial Intelligence-based Agent
4. Types of Agents in Artificial Intelligence
5. Classification of Environment in Artificial Intelligence
6. PEAS Based Grouping of Agents in Artificial Intelligence
7. Important terms used while problem solving in Artificial Intelligence
8. Problem Solving in Artificial Intelligence
9. Water jug problem in Artificial Intelligence
10. Problem Solving by Searching in Artificial Intelligence
11. Hill Climbing Search in Artificial Intelligence
12. Best-first Search (BFS) in Artificial Intelligence
13. Vacuum Cleaner Problem in Artificial Intelligence
14. Constraint Satisfaction Problems in Artificial Intelligence
15. N-Queens Problem- A Type of Constraint Satisfactory Problem in AI
16. Crypt-Arithmetic Problem- A type of Constraint Satisfactory Problem in Artificial Intelligence
17. Knowledge Representation in Artificial Intelligence
18. Quantifiers in knowledge Representation in an AI Agent
19. What is logic in Artificial Intelligence?
20. Knowledge-Based Agent Levels in Artificial Intelligence
21. Backus-Naur Form (BNF) in Artificial Intelligence
22. Uncertainty in Artificial Intelligence – A brief Introduction
23. Reasons for Uncertainty in Artificial Intelligence
24. Probabilistic Reasoning in AI - A way to deal with Uncertainty
25. Conditional Probability in Artificial Intelligence
26. Bayes Theorem in Conditional Probability
27. Certainty Factor in Artificial Intelligence
28. Inference in terms of Artificial Intelligence
29. Decision Making Under Uncertainty in Artificial Intelligence
30. What is Fuzzy Logic in AI and Why It is used?
31. Fuzzy Logic System Architecture and Its Components in AI
32. Membership Function in Fuzzy Logic | Artificial Intelligence
33. Learning Agents in Artificial Intelligence
34. Types of Learning in Agents in Artificial Intelligence
35. Elements of a Learning Agent in Artificial Intelligence
36. Reinforcement Learning: What It Is, Types, Applications
37. Artificial Communication | Artificial Intelligence
38. Components of communicating agents | Artificial Intelligence
39. Natural language processing (NLP) in Artificial Intelligence
40. Natural Language Understanding (NLU) Process in Artificial Intelligence

AI Preparation

• AI Aptitude Questions

Machine Learning

1. Machine Learning: What It Is, Types, Working Mechanism
2. Naive Bayes Algorithm Example
3. Linear Regression
4. Getting Started with Python Spyder: Installation and GUI Explanation
5. Split a Dataset into Train and Test Sets using Python
6. Validation Before Testing
7. Pearson Coefficient of Correlation
8. Spearman's Correlation and Its Implementation using Python
9. RMSE: Root-Mean-Square Error
10. Kendall's Tau Correlation Implementation using Python
11. Decision Tree Algorithm in Machine Learning
12. K-Nearest Neighbor (KNN) Algorithm and Its Implementation using Python
13. Probabilistic Graphical Model (PGMs) Algorithm
14. Bayesian Network in Machine Learning
15. The Boyfriend Problem using PGMs and Neural Network
16. Markov Random Field Model
17. Clustering: Introduction, Types, and Advantages

Machine Learning with Java

1. Weka Tutorial: GUI-based Machine Learning with Java
2. Attribute Relation File Format (ARFF)
3. Attribute Selection (with Java)
4. Training and Test Sets: Splitting Data using Java