01. Machine Learning

Basic of machine learning

tensorflow

TOC

Machine Learning

  • Filed of study that gives computers the ability to learn without being explicitly programmed. - Arthur Samuel, 1959

Types of Machine Learning

  • Supervised learning
    • learning with labeled examples(training set)
    • Classification
  • Unsupervised learning
    • learning with unlabeled data
    • grouping and clustering

Supervised Learning

  • Most common problems
  • Examples:
    • Object detection
    • Email spam
    • Prediction
objectClassification
Image 1. Object classification. (src: http://cs231n.github.io/classification/)

Types of Supervised Learning

  • Regression
    • Predicting final exam score based on time spent
Hours Score
10 90
9 80
7 ?
3 50
2 30
Table 1. Prediction
  • Binary classification
    • Pass/non-pass based on time spent
Hours Score
10 PASS
9 PASS
7 ?
3 FAIL
2 FAIL
Table 2. Binary Classification
  • Multi-label classification
    • Letter grade(A, B, C, D and F) based on time spend
Hours Score
10 A
9 B
7 ?
3 D
2 F
Table 3. Multi-label Classification

COMMENTS

Name

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Universe In Computer: 01. Machine Learning
01. Machine Learning
Basic of machine learning
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Universe In Computer
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