Machine Learning and Artificial Intelligence Tutorial

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

Machine Learning and Artificial Intelligence Topics

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

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

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


Comments and Discussions!










Copyright © 2023 www.includehelp.com. All rights reserved.