Machine Learning Applications

머신러닝을 공부해서 어디에 사용할까요?

• Speech raecognition
• Fraud detection
• Recommendation
• Face recognition
• Email filtering
• Medical diagnosis
• Weather prediction

Machine Learning이란 ?

개념

Why use Machine Learning?

ML vs Data Mining

ML vs Artificial Intelligence

ML vs Deep Learning

Type of Machine Learning

• 훈련동안 주어지는 데이터의 양과 종류에 따라

1. Supervised learning (지도학습)
2. Unsupervised learning (비지도학습)
3. Semi-supervised learning (준지도 학습)
4. Reinforcement Learning (강화학습)

• 데이터가 한번에 주어지는지 점진적으로 주어지는지에 따라

1. Batch learning
2. Online learning

• 보이지 않는 데이터를 일반화 하는 방법에 따라

1. Instance-based learning
2. Model based learning

Machine Learning Workflow

1. 전처리(Preprocessing)
2. 학습(Learning)
3. 평가(Evaluationn)
4. 예측(Prediction)

Challenges of ML

Data

Algorithm