Basic AI notes

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PageContent1: What is AI? + Types of AI + Key Subfields 2 Machine Learning types, the linear regression formula, and a Solved Example 3. Neural Networks, activation functions, summary table 4 NLP tasks + TF-IDF formula + Solved Example 5 Computer Vision + CNN architecture + Search Algorithms 6Bayes' Theorem + Naive Bayes Solved Example (Spam detection) 7 Decision Trees + K-Means Clustering + All Evaluation Metrics 8 AI Applications (Healthcare, Finance, Transport, Education) 9 More Applications (Entertainment, Agriculture, Cybersecurity, Retail) 10 Ethics & Challenges + Full