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(기초) 기계학습의 원리와 응용분야(Principles and Applications of Machine Learning)(1)
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(기초) 기계학습의 원리와 응용분야(Principles and Applications of Machine Learning)(1)
(기초) 기계학습의 원리와 응용분야(Principles and Applications of Machine Learning)(1)
http://unist.edwith.org/aip2-2021-1/lecture/361729
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Week 01: History of Artificial Intelligence and Machine Learning
1-1 Motivation and Turing Test - Can Machines Think?
1-2 Creation of Artificial Intelligence
1-3 Logical Artificial Intelligence - Expert System
1-4 Statistical Machine Learning
1-5 Neural Network and Deep Learning
Quiz 1
Week 02: Various Problems in Machine Learning
2-1 What are machine learning problems?
2-2 Learning with data and labels
2-3 Learning without labels
Quiz 2
Week 03: Finding Good Features to Solve Problems
3-1 What are good features and why are they important?
3-2 How to extract features automatically
3-3 What are composite features and why are they important?
Quiz 3
Week 04: Making Intelligence by Measuring the Similarity among Data Points
4-1 Distance Measures
4-2 Nearest Neighbor
4-3 Kernel Methods 1
4-4 Kernel Methods 2
Week 05: Introduction to Neural Network
5-1 Artificial Neural Network
5-2 Convolutional Neural Network
5-3 Recurrent Neural Network
Week 06: Participating in AI challenges
6-1 What are AI challenges?
6-2 Guide to Kaggle
6-3 Data Processing
6-4 Digit Recognizer
Quiz 6
Week 07: Participating in AI challenges (Advanced)
7-1 Methods of Ensemble
7-2 Avito Demand Prediction Challenge
7-3 Data Science Bowl 2018 & Toxic Comments
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4-3 Kernel Methods 1
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4-3 Kernel Methods 1 - Starmooc
4-3 Kernel Methods 1 - Starmooc
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4-2 Nearest Neighbor
4-4 Kernel Methods 2