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TABLE OF CONTENTS16 sections

Introduction to Artificial Intelligence and Machine Learning

01Introduction to Artificial Intelligence and Machine Learning 02Foundations And Evolution Of Artificial Intelligence 03Intelligent Agents And Ai Problem Formulation 04Mathematical Statistical And Data Foundations 05Search Optimization Planning And Game Playing 06Knowledge Representation And Reasoning 07Machine Learning Concepts And End To End Workflow 08Supervised Learning Models 09Unsupervised Learning And Representation Discovery 10Neural Networks And Deep Learning 11Reinforcement Learning And Sequential Decision Making 12Applied Ai Language Vision Recommendations And Generative Ai 13Model Evaluation Explainability And Decision Analytics 14Ai Engineering Deployment And Mlops 15Ai Strategy Digital Transformation And Value Realization 16Responsible Ai Governance And Future Directions

Syllabus

Introduction to Artificial Intelligence and Machine Learning

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