11120BAI700500 統計與機器學習概論二 
<br>Introduction of Statistics and Machine Learning (II)
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<br>Instructors: 楊立威、李政霖、羅中泉、劉奕汶、楊自雄 
<br>(lwyang@life.nthu.edu.tw; johnli101061255@gmail.com; cclo@mx.nthu.edu.tw; 
<br>ywliu@ee.nthu.edu.tw; tyang@mx.nthu.edu.tw )
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<br>Date: T234
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<br>TA: Chris Ortiz (Christopherllynardortiz@gmail.com) 
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<br>Textbook: 
<br>Introduction to Machine Learning, Fourth Edition, Ethem Alpaydin Course Outline
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<br>Section 1
<br>2/20 Introduction to Machine Learning (LW Yang)
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<br>2/27 Supervised Learning (CL Li)
<br>3/5 Bayesian Decision Theory/ Parametric Model (CL Li)
<br>3/12 Decision tree / Random Forest (CL Li)
<br>3/19 Random Forest/ Gradient Boost (CL Li)
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<br>3/26 Multivariates / Dimension reduction (LW Yang)
<br>4/2 No Class in School Anniversary Celebration /校慶週停課
<br>4/9 Clustering I / Linear Discrimination (LW Yang)
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<br>4/16 Dimension Reduction & Feature Selection (CC Lo)
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<br>4/23 Support Vector Machine I (YW Liu)
<br>4/30 Support Vector Machine II (YW Liu)
<br>5/7 Single la<x>yer Perceptron / Multil<x>ayer Perceptron (YW Liu)
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<br>5/14 Deep learning (Nick Yang)
<br>5/21 DNN, CNN, RNN (Nick Yang)
<br>5/28 Design Suitable Machine Learning Experiments I (Nick Yang)
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<br>6/4 CNN in Real-World Applications: Image Segmentation and ob<x>ject Detection (CC 
<br>Lo)
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<br>Grading:
<br>4 Homework + 1 Homework or quiz (20% each)
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<br>AI 使用規則 (Indicate which of the following options you use to manage student use 
<br>of the AI) - 有條件開放，請註明如何使用生成式AI於課程產出 Conditionally open; please 
<br>specify how generative AI will be used in course output