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Computer Vision & its Application | AI for Class X
Artificial Intelligence (AI)
Syllabus of AI (Class X)
SAMPLE PAPERS
AI MCQs for CBSE Exam
AI Project Cycle & Ethical Frameworks
Artificial Intelligence
Advantages & Disadvantages of AI
AI Project Cycle
1. Problem Scoping
2. Data Acquisition
3. Data Exploration
4. Modeling
5. Evaluation
6. Deployment
Domians of AI
Ethical Frameworks
Types of Ethical Frameworks
Ethical issues around AI
Advance Concepts of Modeling
Machine Learning & Deep Learning
Common Modeling terminologies
AI Models
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Artificial Neural Network
Evaluating Models
Evaluation
Evaluation of a model
Confusion Matrix
Accuracy
Precision
Recall
F1 Score
Ethical concern around AI
Important Questions
Statistical Data
Data Science & its applications
AI Project Cycle with Data Science
Data Collection
Data Access
Questions & Answers
Computer Vision
Computer Vision & its applications
Natural Language Processing
NLP & its applications
AI Project Cycle with NLP
Smart vs Script Chatbot
Human vs Computer Language
Concept of NLP Process
Bag of words
TF - IDF
Questions & Answers
Important Questions
More Topics to learn
Python (9 & 10)
Artificial Intelligence (9 & 10)
Information Technology (9 & 10)
Communication Skills (9 & 10)
Self Management Skills (9 & 10)
ICT Skills (9 & 10)
Entrepreneurship Skills (9 & 10)
Green Skills (9 & 10)
Applications of Computer Vision