DI05000051 · Semester 5 · 5G scheme
AI & ML
Notes and solutions following the Gujarat Technological University (GTU) syllabus for DI05000051. Independent material — not issued by the university.
Electronics & Communication EngineeringInformation & Communication Technology
Materials
Complete Book
The whole syllabus, unit by unit, written for the exam.
Complete Book
85 pages
Premium Preview · 11 pages
Syllabus units
Unit 1: Unit 1
- 1.1 Introduction to Artificial Intelligence
- 1.2 Applications of Artificial Intelligence
- 1.3 AI Development Tools and Libraries
- 1.4 Data Handling Using Python Libraries
- 1.5 Data Visualization
- 1.6 Ethical Considerations in AI
Unit 2: Unit 2
- 2.1 Introduction to Machine Learning
- 2.2 Well-Posed Machine Learning Problem
- 2.3 Types of Machine Learning
- 2.4 Supervised Learning Algorithms
- 2.5 Model Training and Testing
- 2.6 Model Evaluation Techniques
Unit 3: Unit 3
- 3.1 Introduction to Neural Networks
- 3.2 Structure of Artificial Neural Networks
- 3.3 Activation Functions
- 3.4 Types of Neural Network Architectures
- 3.5 Building a Simple Neural Network Model
Unit 4: Unit 4
- 4.1 Introduction to Natural Language Processing
- 4.2 NLP Processing Pipeline
- 4.3 Text Preprocessing Techniques
- 4.4 Text Representation Techniques
- 4.5 Simple NLP Applications
Unit 5: Unit 5
- 5.1 Emerging Trends in Artificial Intelligence
- 5.2 Introduction to Generative AI
- 5.3 Large Language Models (LLMs)
- 5.4 Prompt Engineering
- 5.5 Ethical and Responsible AI
About this course
Study materials, question papers, and solutions for AI & ML (DI05000051) - Diploma Engineering, Semester 5