Introduction to Artificial Intelligence

 

Instructor: Jian-Feng Shi, Ph.D., P.Eng, PMP

 

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Course Outline

Math Formula Reference

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1.1 Introduction to Machine Learning and Artificial Intelligence

1.2 Review of Statistics and Bayes Theorem

1.3 Introduction to Pattern Recognition

1.4 Optimal Bayes Classifier and Principal Component Analysis

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2.1 Introduction to Machine Learning

2.2 Agent Performance Evaluation

2.3 Introduction to Machine Vision and Image Processing

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3.1 Image Texture and Filter Kernels

3.2 Data Representation: Bag of Visual Words

3.3 Manual Image Features

3.4 Random Sample Consensus (Optional)

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4.1 Deep Learning Applications

4.2 Introduction to Neural Networks

4.3 Convolutional Neural Networks

4.4 Recurrent Neural Networks and Long-Short Term Memory Cells

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5.1 Generative Adversarial Networks

5.2 Reinforcement Learning


Introduction to Artificial Intelligence