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TABLE OF CONTENTS15 sections

Introduction to AI and ML

01Introduction to AI and ML 02Foundations Of Artificial Intelligence 03Machine Learning Fundamentals 04Mathematics And Statistics For Ml 05Data Acquisition Understanding And Preparation 06The Ai And Ml Project Lifecycle 07Supervised Learning Regression 08Supervised Learning Classification 09Unsupervised Learning And Pattern Discovery 10Neural Networks And Deep Learning 11Natural Language Vision And Generative Ai 12Model Selection Evaluation And Explainability 13Ai Development Tools And Deployment 14Responsible Ai Ethics And Governance 15Ai For Organizations And Future Developments

Chapter 1

Foundations Of Artificial Intelligence

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