課程活動
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1.Introduction
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閱讀 > 1 分鐘 1.2 [1.2] 軟體工具
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2.Causality and experiments
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閱讀 > 1 分鐘 2.2 [2.2] Disciplines
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需繳交, 2018-10-02 2.3 Homework #1
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3.Randomness and probability
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閱讀 > 1 分鐘 3.2 [4] Probability (II)
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4.Random sampling
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需繳交, 2018-10-23 4.2 Homework #2: blackjack (simplified)
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5.Statistical models
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閱讀 > 1 分鐘 5.1 [6] Statistical models
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6.Estimation
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需繳交, 2018-10-30 6.2 Homework #3: logistic regression
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需繳交, 2018-11-14 6.4 Homework #4: bootstrap confidence interval
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7.Statistical inferencing
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閱讀 > 1 分鐘 7.1 [9] Statistical inferencing
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閱讀 > 1 分鐘 7.2 [10] Statistical inferencing (II)
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需繳交, 2018-11-20 7.4 Homework #5: PM 2.5 Concentrations
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需繳交, 2018-11-20 7.5 期中考
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8.Introduction to machine learning
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閱讀 > 1 分鐘 8.1 [12] Head-in ML
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需繳交, 2018-12-04 8.2 Homework #6: cross-validation
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9.Regression problems
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需繳交, 2018-12-11 9.2 Homework #7: Diabetes dataset
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10.Classification
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需繳交, 2018-12-18 10.2 Homework #8: multiclass logistic regression
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11.Clustering
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需繳交, 2019-01-02 11.4 Homework #9: k-means clustering
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12.Explorative data analysis
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需繳交, 2019-01-02 12.6 Homework #10: does the logistic regression overfit?
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13.期末報告