(기초) 기계학습의 원리와 응용분야(Principles and Applications of Machine Learning)(1) 강좌소개 : UNIST

(기초) 기계학습의 원리와 응용분야(Principles and Applications of Machine Learning)(1)

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