Schedule
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EventDateDescriptionCourse Material
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Lecture09/10/2026
ThursdayIntroduction[Slides]Suggested Readings:
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Assignment09/11/2026
FridayAssignment #1 released! -
Lecture09/17/2026
ThursdayStatistical Learning[Slides]Suggested Readings:
- 統計學習的基本框架
- Lab
- ISLP Chapter 2
- ESL Chapter 2
- Foundations of Data Science Chapter 2
- [Recorded video]
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Assignment09/18/2026
FridayAssignment #2 released! -
Lecture09/24/2026
ThursdayRegression[Slides]Suggested Readings:
- 線性迴歸(自學教材)
- Lab
- ISLP Chapter 3
- ESL Chapter 3.1~3.3
- AI-Assisted Statistics for Data Scientists(第三版):Chapter 4 and Chapter 3
- 從樣本推論母體(自學教材)/Ch5 in OpenIntro Statistics/p-value and hypothesis testing in statquest/04-05 in 統計學
- [Recorded video]
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Due09/24/2026 23:59
ThursdayAssignment #1 due -
Assignment09/25/2026
FridayAssignment #3 released! -
Lecture10/01/2026
ThursdayClassification[Slides]Suggested Readings:
- 分類(自學教材)
- Lab
- ISLP Chapter 4
- ESL Chapter 4.1~4.4
- AI-Assisted Statistics for Data Scientists(第三版):Chapter 5 and Chapter 2
- 統計先備自學:分布與抽樣/貝氏推論
- StatQuest:機率分布與貝氏定理
- 3Blue1Brown:機率
- [Recorded video]
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Assignment10/01/2026
ThursdayAssignment #4 released! -
Due10/02/2026 23:59
FridayAssignment #2 due -
Lecture10/08/2026
ThursdayResampling Methods[Slides]Suggested Readings:
- 重抽樣方法(自學教材)
- Lab
- ISLP Chapter 5
- ESL Chapter 7.1~7.4 and 7.10~7.11
- AI-Assisted Statistics for Data Scientists(第三版):Chapter 3
- [Recorded video]
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Due10/08/2026 23:59
ThursdayAssignment #3 due -
Assignment10/09/2026
FridayAssignment #5 released! -
Lecture10/15/2026
ThursdayLinear Model Selection and Regularization[Slides]Suggested Readings:
- 線性模型選擇與正規化(自學教材)
- Lab
- ISLP Chapter 6
- ESL Chapter 7.1~7.7 and 3.3~3.6
- AI-Assisted Statistics for Data Scientists(第三版):Chapter 4
- [Recorded video]
- [Midterm 2025 (A)]
- [Midterm 2025 (B)]
- [Midterm 2023]
- [Midterm 2022]
- [Midterm 2021]
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Assignment10/15/2026
ThursdayAssignment #6 released! -
Due10/15/2026 23:59
ThursdayAssignment #4 due -
Lecture10/22/2026
ThursdaySuggested Readings:
- 線性模型選擇與正規化(自學教材)
- Lab
- ISLP Chapter 6
- ESL Chapter 3.3~3.6 and 18.1
- AI-Assisted Statistics for Data Scientists(第三版):Chapter 4
- [Recorded video]
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Due10/22/2026 23:59
ThursdayAssignment #5 due -
Due10/29/2026 23:59
ThursdayAssignment #6 due -
Lecture11/05/2026
ThursdayMoving Beyond Linearity[Slides]Suggested Readings:
- 超越線性(自學教材)
- Lab
- ISLP Chapter 7
- ESL Chapter 5.1~5.7, 6.1~6.3 and 9.1
- AI-Assisted Statistics for Data Scientists(第三版):Chapter 4
- [Recorded video]
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Lecture11/12/2026
ThursdayTree-Based Methods[Slides]Suggested Readings:
- 樹狀方法與集成學習(自學教材)
- Lab
- ISLP Chapter 8
- ESL Chapter 9.2
- AI-Assisted Statistics for Data Scientists(第三版):Chapter 6
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Lecture11/19/2026
ThursdayTree-Based MethodsSuggested Readings:
- 樹狀方法與集成學習(自學教材)
- ISLP Chapter 8
- ESL Chapter 8.7~8.8, 10.1~10.14 and 15.1~15.3
- AI-Assisted Statistics for Data Scientists(第三版):Chapter 6
- StatQuest:XGBoost
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Lecture11/26/2026
ThursdaySupport Vector Machines[Slides]Suggested Readings:
- 支持向量機(自學教材)
- Lab
- ISLP Chapter 9
- ESL Chapter 6.6~6.9 and 12.1~12.3
- 林軒田:Machine Learning Techniques
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Lecture12/03/2026
ThursdayUnsupervised Learning[Slides]Suggested Readings:
- 非監督式學習(自學教材)
- Lab
- ISLP Chapter 12
- ESL Chapter 13.1~13.3, 14.1~14.3 and 14.5~14.9
- AI-Assisted Statistics for Data Scientists(第三版):Chapter 7
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Lecture12/10/2026
ThursdayUnsupervised LearningSuggested Readings:
- 非監督式學習(自學教材)
- ISLP Chapter 12
- ESL Chapter 13.1~13.3, 14.1~14.3 and 14.5~14.9
- AI-Assisted Statistics for Data Scientists(第三版):Chapter 7
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Lecture12/17/2026
ThursdayDeep LearningSuggested Readings:
- 深度學習(自學教材)
- Lab(ISLP 官方)
- ISLP Chapter 10
- ESL Chapter 11
- AI-Assisted Statistics for Data Scientists(第三版):Chapter 8
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Lecture12/24/2026
ThursdayFinal Project PresentationNotice:
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Due12/26/2026 23:59
SaturdayFinal Report, Slides, and Code due
