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  • [1week] machine learning overall scenario & end to end code
    Data-Science/ml&dl lecture 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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