# 台灣人工智慧協會教案參考資料
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## python 基礎
## [用 Python 做商管程式設計（一）孔令傑 ](https://zh-tw.coursera.org/learn/pbc1)
### 學員心得分享
## 作業2提示可用取餘數及取商數運算
## 問題
[預備資料](https://www.cdslab.org/python/notes/preliminary-foundations/computer-programming/computer-programming.html)
## [人工智慧教練特訓班](https://hackmd.io/kEV-NXAwT-iKnO5URhs-ZQ)
[人工智慧學校公開教材](https://hackmd.io/JBo3ObNqSFKDaFImFv6OgQ?view)
[與人工智慧相關電影簡介](https://hackmd.io/@seiching/r1cUrOI2c)
### 學員心得分享
### 問題
## 資料視覺化[powerbi](https://www.coursera.org/learn/data-driven-decisions-with-power-bi)
### 學員心得分享
### 問題
## [wordpress建置](https://www.coursera.org/projects/build-a-full-website-using-wordpress)
## [吳恩達深度學習專項課程](https://www.coursera.org/specializations/deep-learning)
## [吳恩達-神經網路與深度學習](https://www.coursera.org/learn/neural-networks-deep-learning?specialization=deep-learning)
## [吳恩達-Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization](https://www.coursera.org/learn/deep-neural-network?specialization=deep-learning)
## [吳恩達-Structuring Machine Learning Projects](https://www.coursera.org/learn/machine-learning-projects?specialization=deep-learning)
## [吳恩達-Convolutional Neural Networks](https://www.coursera.org/learn/convolutional-neural-networks?specialization=deep-learning)
## [李宏毅深度學習](https://speech.ee.ntu.edu.tw/~hylee/ml/2022-spring.php)
## [機器學習基石上](https://www.coursera.org/learn/ntumlone-mathematicalfoundations)

## [北科大](https://aintut.github.io/2022/)