Syllabus Overview1.1 Power & Definition of AI1.2 Domain of AI (Data Science)1.3 Domain of AI (Natural Language Processing)1.4 Computer Vision1.5 Applications of AI 2.1 Overview 2.2 Problem Scoping2.3 Problem Scoping: 4ws Problem Canvas2.4 AI Project Cycle - Data Acquisition: What is Data?2.5 Data Acquisition: Acquiring Data & System Maps3.1 Learning Based (Supervised & Unsupervised)3.2 Learning Based (Reinforcement Learning)3.3 Algorithms3.4 Neural Networks Introduction3.5 Human Nervous System4.1 Introduction to Python4.2 Need of Programming Language4.3 Python The High Level Language4.4 Python Interpreter4.5 IDE and Its installation
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