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Submission: On April 20 via api from US — Scanned from DE
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Submission: On April 20 via api from US — Scanned from DE
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ELEMENTS OF AI Course overview Menu Introduction to AIBuilding AIAboutFAQ Sign inSign up Course overview WELCOME! SIGN UP OR LOG IN TO GET COMPLETE ACCESS TO THE COURSE. IT’S FREE! Log inSign up Chapter 1 WHAT IS AI? Section Exercises I. How should we define AI? 0/1 II. Related fields 0/2 III. Philosophy of AI 0/1 Chapter 2 AI PROBLEM SOLVING Section Exercises I. Search and problem solving 0/2 II. Solving problems with AI --- III. Search and games 0/1 Chapter 3 REAL WORLD AI Section Exercises I. Odds and probability 0/2 II. The Bayes rule 0/2 III. Naive Bayes classification 0/2 Chapter 4 MACHINE LEARNING Section Exercises I. The types of machine learning --- II. The nearest neighbor classifier 0/2 III. Regression 0/4 Chapter 5 NEURAL NETWORKS Section Exercises I. Neural network basics 0/1 II. How neural networks are built 0/2 III. Advanced neural network techniques --- Chapter 6 IMPLICATIONS Section Exercises I. About predicting the future 0/1 II. The societal implications of AI 0/1 III. Summary 0/1 Introduction to AIBuilding AIAboutFAQPrivacy PolicyTerms and Conditions Sign inSign up