UsefulLinks
Computer Science
Software Engineering
Chatbot Development
1. Introduction to Chatbots
2. Foundational Technologies
3. Core Components of Conversational AI
4. Chatbot Design Principles
5. Development Methodologies
6. Building NLU Systems
7. Dialogue Management Systems
8. Large Language Models in Chatbots
9. Development Tools and Platforms
10. Integration and Deployment
11. Testing and Quality Assurance
12. Monitoring and Analytics
13. Maintenance and Continuous Improvement
14. Advanced Topics
15. Ethics and Responsible AI
2.
Foundational Technologies
2.1.
Natural Language Processing Fundamentals
2.1.1.
Text Preprocessing
2.1.1.1.
Tokenization
2.1.1.2.
Normalization
2.1.1.3.
Cleaning
2.1.2.
Linguistic Analysis
2.1.2.1.
Morphological Analysis
2.1.2.2.
Syntactic Parsing
2.1.2.3.
Semantic Analysis
2.1.3.
Statistical Methods
2.1.3.1.
N-gram Models
2.1.3.2.
Hidden Markov Models
2.1.3.3.
Conditional Random Fields
2.2.
Machine Learning Basics
2.2.1.
Supervised Learning
2.2.1.1.
Classification
2.2.1.2.
Regression
2.2.1.3.
Training and Validation
2.2.2.
Unsupervised Learning
2.2.2.1.
Clustering
2.2.2.2.
Dimensionality Reduction
2.2.3.
Deep Learning Fundamentals
2.2.3.1.
Neural Networks
2.2.3.2.
Backpropagation
2.2.3.3.
Optimization
2.3.
Information Retrieval
2.3.1.
Document Representation
2.3.2.
Similarity Measures
2.3.3.
Ranking Algorithms
2.3.4.
Vector Spaces
Previous
1. Introduction to Chatbots
Go to top
Next
3. Core Components of Conversational AI