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ELEMENTS OF AI

Course overview
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Introduction to AIBuilding AIAboutFAQ
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Course overview


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Chapter 1


WHAT IS AI?

Section

Exercises

I. How should we define AI?

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II. Related fields

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III. Philosophy of AI

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Chapter 2


AI PROBLEM SOLVING

Section

Exercises

I. Search and problem solving

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II. Solving problems with AI

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III. Search and games

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Chapter 3


REAL WORLD AI

Section

Exercises

I. Odds and probability

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II. The Bayes rule

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III. Naive Bayes classification

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Chapter 4


MACHINE LEARNING

Section

Exercises

I. The types of machine learning

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II. The nearest neighbor classifier

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III. Regression

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Chapter 5


NEURAL NETWORKS

Section

Exercises

I. Neural network basics

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II. How neural networks are built

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III. Advanced neural network techniques

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Chapter 6


IMPLICATIONS

Section

Exercises

I. About predicting the future

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II. The societal implications of AI

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III. Summary

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