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[1week] machine learning overall scenario & end to end code 본문

Data-Science/ml&dl lecture

[1week] machine learning overall scenario & end to end code

vertte epsilon- 2021. 4. 9. 20:22

0. Goal of this lecture

1. Overall scenario of data analysis (ml/dl)

1.1 what is Machine Learning & Deep learning

1.2 kinds of ml

  • supervised learning / unsupervised / reinforcement

1.3 problems in ml

(point of Data)

  • not enough data
  • doesn't have enough Representativeness .
  • bad quality data (error ,noisy , outlier)
  • not related features (Feature engineering can solve this problem)

(point of Model)

  • overfitting
  • underfitting

1.4 test& validation

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