Table of Content
1. INTRODUCING ARTIFICIAL INTELLIGENCE (AI)
2. ARTIFICIAL INTELLIGENCE (AI) AND ITS BRANCHES
3. PROBLEM SOLVING AND SEARCH ALGORITHMS IN AI
4. SOFT COMPUTING AND FUZZY SET
5. ARTIFICIAL NEURAL NETWORK
6. KNOWLEDGE ENGINEERING IN AI
7. ROLE OF DATA AND HARDWARE IN AI
8. DATA ANALYTICS WITH AI
9. MACHINE LEARNING AND EXPERT SYSTEM IN AI
10. DEEP LEARNING IN AI
11. PLANNING IN AI
12. COMPUTER VISION, SPEECH RECOGNITION AND NATURAL LANGUAGE PROCESSING
13. ROBOTICS WITH AI 291
14. DRONES WITH AI
15. DRIVING CARS WITH AI
16. INNOVATIONS IN AI
Case Studies
Lab Sessions
1. IMPLEMENTING LINEAR REGRESSION ALGORITHM
2. IMPLEMENTING LOGISTIC REGRESSION ALGORITHM
3. IMPLEMENTING CLUSTERING ALGORITHM
4. TESTING NEURAL NETWORK
5. TRAINING A NEURAL NETWORK
6. IMPLEMENTING PERCEPTRON ALGORITHM
7. IMPLEMENTING BACKPROPAGATION ALGORITHM
8. IMPLEMENTING NLP
9. PERFORMING SENTIMENT ANALYSIS
10. IMPLEMENTING COMPUTER VISION