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CBSE 10 AI (Artificial Intelleigence)
The chapter focuses on writing Python programs for basic data processing and visualization tasks using libraries such as NumPy, Pandas, Matplotlib, and OpenCV. Key topics include performing list operations, calculating statistical measures, plotting data, reading CSV files, and handling image data. These foundational skills are pivotal for understanding artificial intelligence and machine learning workflows.
Abraham
AI Course Fundamental
The chapter explores the future of artificial intelligence, contrasting narrow AI with artificial general intelligence (AGI), and discusses emerging trends such as explainable AI, edge AI, and automated machine learning. It outlines various career paths and research areas in AI, emphasizing the transformative potential of AI technologies and the importance of ethical considerations. It concludes by highlighting the need for adaptability in a rapidly evolving field.
Diljeet Singh
CBSE 9 AI (Artificial Intelligence)
Practical application of Artificial Intelligence (AI) concepts is emphasized through hands-on projects aimed at encouraging creativity, critical thinking, and problem-solving. Students engage in activities such as creating AI models and addressing real-world problems related to Sustainable Development Goals (SDGs). The chapter also promotes documentation of learning experiences through a portfolio.
Abraham
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