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lec1_basicTensorflow끄적끄적/기초배우기(sung kim) 2020. 4. 26. 14:41
'''
What is ML
: Automatic driving을 구현하기 위해서는 조건들이 너무 많이 필요하다.
=> 개발자가 정하지 않고 기계가 스스로 조건들을 학습하는 방법을 생각함
Supervised learning
: learning with labeled examples - training set
Most common problem type in ML
ex)distinguish cat and dog
Predicting final exam score
Email filter
Training data set
Unsupervised learning:un-labeled data
- Google news grouping
- Word clustering
Types of supervised learning
1.Predicting final exam score based on time spent
- regression
2. Pass/non-pass based on time spent
- binary classification(choose one type between pass and non-pass)
3. Letter grade (A,B,C,E and F) based on time spent
- multi-label classification
'''
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