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CBSE 12 AI (Artificial Intelligence)
Evaluating AI models is crucial for understanding their performance in real-world scenarios, including checking predictions, error rates, and ensuring fairness. Various methodologies such as confusion matrices, evaluation metrics, cross-validation, and ROC curves provide frameworks to assess model quality. These techniques not only help in selecting the best-performing models but also address issues of bias and fairness in AI applications.
12 Chapters
12 weeks
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podcasts and take practice test.
Course Chapters
Chapter 1
Communication Skills – IV
Chapter 2
Self-Management Skills – IV
Chapter 3
Information and Communication
Chapter 4
Entrepreneurial Skills – IV
Chapter 5
Green Skills – IV
Chapter 6
Introduction to Artificial Intelligence
Chapter 7
AI Project Cycle
Chapter 8
Advanced Python – Revision and Functions
Chapter 9
Data Analysis using Python
Chapter 10
Introduction to Neural Networks
Chapter 11
Natural Language Processing (NLP)
Chapter 12