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NTUST ET5229701 應用於光學設計實務之機器學習 The Machine Learning of Practical Optical Desing

上課進度

日期 進度 連結
2019/02/19 介紹Python3基本語法跟觀念 https://paper.dropbox.com/doc/ML-20190219-6Hg4VCokD61vwWCRkZFXj
2019/02/26 資料預處理 https://paper.dropbox.com/doc/ML-20190226-KnOFDG4dwwAf7tB4s1jvC
2019/03/05 簡單/多項線性回歸 https://paper.dropbox.com/doc/ML-20190305-vEi1HmHIdzTUYrd8nhUuG
2019/03/12 多元線性回歸 https://paper.dropbox.com/doc/ML-20190312-lgHhzez5pRQRyuLebwQGF
2019/03/19 分類(邏輯回歸、支持向量機(SVM)) https://paper.dropbox.com/doc/ML-20190319-26IHGqIWU6zY7NL7ffgEW
2019/03/26 分類(核函數支持向量機、樸素貝葉斯) https://paper.dropbox.com/doc/ML-20190326-W91D5wkQdZL4L9lpSuFXx
2019/04/09 分類(決策樹與隨機森林) https://paper.dropbox.com/doc/ML-20190409-UmJcetBFgmD9trpX9XRXx
2019/04/16 期中考
2019/04/23 集群(K-Mean), 關聯規則學習 https://paper.dropbox.com/doc/ML-20190423-c4qLmpWeE1czbYupP3VKD
2019/04/30 降維(PCA, Kernel PCA), 模型評估(K-Fold) https://paper.dropbox.com/doc/ML-20190430-otKP0n5iuKkmldMs4rmpV
2019/05/07 隨機選擇與置信區間 https://paper.dropbox.com/doc/ML-20190507-pV4baqYlaeXsLGEwPumld
2019/05/14 業師演講
2019/05/21 湯普森抽樣與人工神經網路 https://paper.dropbox.com/doc/ML-20190521-fm7XqL98GioRZ6Oj4Rub0
2019/05/28 人工神經網路與模型選擇 https://paper.dropbox.com/doc/ML-20190528-rpVJjuoeAy5ggcwhM2Yks
2019/06/04 模型選擇與捲積神經網路 https://paper.dropbox.com/doc/ML-20190604-uAUsRE0n468Zc76I4gxYd
2019/06/11 期末考
2019/06/18 自然語言處理 https://paper.dropbox.com/doc/ML-20190618-ruyvKZ1TOPVoyMkrwDpdt

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NTUST ET 5229701 應用於光學設計實務之機器學習 The Machine Learning of Practical Optical Desing

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