Канал: 孔令傑副教授

臺大資管系資訊教育服務學習 111-2 學期記錄 x 宜蘭縣順安國中

臺大資管系資訊教育服務學習 111-2 學期記錄 x 宜蘭縣順安國中

[Platform Strategy] Lecture 5B: Platform Governance #4 Google Local Guide

[Platform Strategy] Lecture 5B: Platform Governance #4 Google Local Guide

[Platform Strategy] Lecture 5B: Platform Governance #3 picsee

[Platform Strategy] Lecture 5B: Platform Governance #3 picsee

[Platform Strategy] Lecture 5B: Platform Governance #2 LendingClub

[Platform Strategy] Lecture 5B: Platform Governance #2 LendingClub

[Platform Strategy] Lecture 5B: Platform Governance #1 Opening vs. Controlling

[Platform Strategy] Lecture 5B: Platform Governance #1 Opening vs. Controlling

股票歷史交易資料分析—#8 任務描述B3

股票歷史交易資料分析—#8 任務描述B3

「商管實務的資料分析」：分類問題、羅吉斯迴歸 10：用 Python 做羅吉斯迴歸

「商管實務的資料分析」：分類問題、羅吉斯迴歸 10：用 Python 做羅吉斯迴歸

「商管實務的資料分析」：分類問題、羅吉斯迴歸 09：綜合討論

「商管實務的資料分析」：分類問題、羅吉斯迴歸 09：綜合討論

「商管實務的資料分析」：分類問題、羅吉斯迴歸 08：分類器間的比較、ROC 曲線、AUC 值

「商管實務的資料分析」：分類問題、羅吉斯迴歸 08：分類器間的比較、ROC 曲線、AUC 值

「商管實務的資料分析」：分類問題、羅吉斯迴歸 07：羅吉斯迴歸（預測型）：調整門檻值

「商管實務的資料分析」：分類問題、羅吉斯迴歸 07：羅吉斯迴歸（預測型）：調整門檻值

「商管實務的資料分析」：分類問題、羅吉斯迴歸 06：羅吉斯迴歸（預測型）：訓練後驗證

「商管實務的資料分析」：分類問題、羅吉斯迴歸 06：羅吉斯迴歸（預測型）：訓練後驗證

「商管實務的資料分析」：分類問題、羅吉斯迴歸 03：四個常用的分類效能指標

「商管實務的資料分析」：分類問題、羅吉斯迴歸 03：四個常用的分類效能指標

「商管實務的資料分析」：分類問題、羅吉斯迴歸 05：羅吉斯迴歸（解釋型）：範例與報表

「商管實務的資料分析」：分類問題、羅吉斯迴歸 05：羅吉斯迴歸（解釋型）：範例與報表

「商管實務的資料分析」：分類問題、羅吉斯迴歸 04：羅吉斯迴歸（解釋型）：動機

「商管實務的資料分析」：分類問題、羅吉斯迴歸 04：羅吉斯迴歸（解釋型）：動機

「商管實務的資料分析」：分類問題、羅吉斯迴歸 02：偽陽性 vs. 偽陰性

「商管實務的資料分析」：分類問題、羅吉斯迴歸 02：偽陽性 vs. 偽陰性

「商管實務的資料分析」：分類問題、羅吉斯迴歸 01：分類問題

「商管實務的資料分析」：分類問題、羅吉斯迴歸 01：分類問題

【程式設計學習】C++ 線上學習工具介紹：「C++ Tutor」網站

【程式設計學習】C++ 線上學習工具介紹：「C++ Tutor」網站

「商管實務的資料分析」：預測型迴歸分析 08：用 LASSO 迴歸挑選變數

「商管實務的資料分析」：預測型迴歸分析 08：用 LASSO 迴歸挑選變數

「商管實務的資料分析」：預測型迴歸分析 07：Ridge 迴歸和 LASSO 迴歸

「商管實務的資料分析」：預測型迴歸分析 07：Ridge 迴歸和 LASSO 迴歸

「商管實務的資料分析」：預測型迴歸分析 02：YouBile 租借：問題描述

「商管實務的資料分析」：預測型迴歸分析 02：YouBile 租借：問題描述

「商管實務的資料分析」：預測型迴歸分析 05：訓練 vs 驗證

「商管實務的資料分析」：預測型迴歸分析 05：訓練 vs 驗證

「商管實務的資料分析」：預測型迴歸分析 03：YouBike 租借：解釋型迴歸分析

「商管實務的資料分析」：預測型迴歸分析 03：YouBike 租借：解釋型迴歸分析

「商管實務的資料分析」：預測型迴歸分析 06：交互驗證；訓練 vs 驗證 vs 測試

「商管實務的資料分析」：預測型迴歸分析 06：交互驗證；訓練 vs 驗證 vs 測試

「商管實務的資料分析」：預測型迴歸分析 04：YouBike 租借：Overfitting

「商管實務的資料分析」：預測型迴歸分析 04：YouBike 租借：Overfitting

「商管實務的資料分析」：預測型迴歸分析 01：解釋 vs 預測

「商管實務的資料分析」：預測型迴歸分析 01：解釋 vs 預測

「商管實務的資料分析」：預測型迴歸分析 10（選讀）：用 Python 做預測型迴歸分析

「商管實務的資料分析」：預測型迴歸分析 10（選讀）：用 Python 做預測型迴歸分析

賽局理論簡介

賽局理論簡介

「商管實務的資料分析」：解釋型迴歸分析 01：概述

「商管實務的資料分析」：解釋型迴歸分析 01：概述

「商管實務的資料分析」：解釋型迴歸分析 02：迴歸基本概念

「商管實務的資料分析」：解釋型迴歸分析 02：迴歸基本概念

「商管實務的資料分析」：解釋型迴歸分析 03：單迴歸 (1)

「商管實務的資料分析」：解釋型迴歸分析 03：單迴歸 (1)

「商管實務的資料分析」：解釋型迴歸分析 04：單迴歸 (2)

「商管實務的資料分析」：解釋型迴歸分析 04：單迴歸 (2)

「商管實務的資料分析」：解釋型迴歸分析 05：複迴歸 (1)

「商管實務的資料分析」：解釋型迴歸分析 05：複迴歸 (1)

「商管實務的資料分析」：解釋型迴歸分析 06：複迴歸 (2)

「商管實務的資料分析」：解釋型迴歸分析 06：複迴歸 (2)

「商管實務的資料分析」：解釋型迴歸分析 07：類別自變數 (1)

「商管實務的資料分析」：解釋型迴歸分析 07：類別自變數 (1)

「商管實務的資料分析」：解釋型迴歸分析 08：類別自變數 (2)

「商管實務的資料分析」：解釋型迴歸分析 08：類別自變數 (2)

【程式設計】第二講：Selection and Repetition #8 for

【程式設計】第二講：Selection and Repetition #8 for

「程式設計」第九講「C Strings」6

「程式設計」第九講「C Strings」6

「程式設計」第九講「C Strings」3

「程式設計」第九講「C Strings」3

「程式設計」第八講：Pointers 8

「程式設計」第八講：Pointers 8

【程式設計】第四講：Variables and Arrays #4 float and double

【程式設計】第四講：Variables and Arrays #4 float and double

【程式設計】第三講：Digital Systems #3 General base conversion

【程式設計】第三講：Digital Systems #3 General base conversion

【程式設計】第二講：Selection and Repetition #7 while and do-while (2)

【程式設計】第二講：Selection and Repetition #7 while and do-while (2)

109-1 學期台大資管資訊服務 x 宜蘭縣立順安國中

109-1 學期台大資管資訊服務 x 宜蘭縣立順安國中

臺大資管系資訊教育服務學習 106-2 學期記錄

臺大資管系資訊教育服務學習 106-2 學期記錄

臺大資管系資訊教育服務學習 106-1 學期記錄

臺大資管系資訊教育服務學習 106-1 學期記錄

臺大資管系「程式設計」105-2 學期家庭專案

臺大資管系「程式設計」105-2 學期家庭專案

【平臺策略】第六講：「平臺競爭」#6 平臺延展性

【平臺策略】第六講：「平臺競爭」#6 平臺延展性

【平臺策略】第六講：「平臺競爭」#5 市場定位

【平臺策略】第六講：「平臺競爭」#5 市場定位

【平臺策略】第六講：「平臺競爭」#4 競爭環境中的補貼策略

【平臺策略】第六講：「平臺競爭」#4 競爭環境中的補貼策略

【平臺策略】第六講：「平臺競爭」#3 囚犯困境與大量補貼的後遺症

【平臺策略】第六講：「平臺競爭」#3 囚犯困境與大量補貼的後遺症

【平臺策略】第六講：「平臺競爭」#2 補貼策略

【平臺策略】第六講：「平臺競爭」#2 補貼策略

【平臺策略】第六講：「平臺競爭」#1 平臺競爭

【平臺策略】第六講：「平臺競爭」#1 平臺競爭

【平臺策略】第五講：「平臺治理」#4 互動管理、交易以外的活動

【平臺策略】第五講：「平臺治理」#4 互動管理、交易以外的活動

【平臺策略】第五講：「平臺治理」#3 用戶篩選與評選

【平臺策略】第五講：「平臺治理」#3 用戶篩選與評選

【平臺策略】第五講：「平臺治理」#1 平臺治理

【平臺策略】第五講：「平臺治理」#1 平臺治理

【平臺策略】第五講：「平臺治理」#2 開放與管制

【平臺策略】第五講：「平臺治理」#2 開放與管制

【平臺策略】第四講：「平臺定價」#5 平臺定價案例討論 (1)：線上小說

【平臺策略】第四講：「平臺定價」#5 平臺定價案例討論 (1)：線上小說

【平臺策略】第四講：「平臺定價」#7 平臺定價案例討論 (3)：Airbnb

【平臺策略】第四講：「平臺定價」#7 平臺定價案例討論 (3)：Airbnb

【平臺策略】第四講：「平臺定價」#6 平臺定價案例討論 (2)：電視遊樂器

【平臺策略】第四講：「平臺定價」#6 平臺定價案例討論 (2)：電視遊樂器

【平臺策略】第四講：「平臺定價」#3 同邊網路效應、多邊棲息成本與移轉成本

【平臺策略】第四講：「平臺定價」#3 同邊網路效應、多邊棲息成本與移轉成本

【平臺策略】第四講：「平臺定價」#4 收費容易度、總結

【平臺策略】第四講：「平臺定價」#4 收費容易度、總結

【平臺策略】第四講：「平臺定價」#1 交叉補貼

【平臺策略】第四講：「平臺定價」#1 交叉補貼

【平臺策略】第四講：「平臺定價」#2 價格彈性、邊際成長成本

【平臺策略】第四講：「平臺定價」#2 價格彈性、邊際成長成本

【平臺策略】第三講：「商業模式選擇」#1 做經銷還是做平臺？

【平臺策略】第三講：「商業模式選擇」#1 做經銷還是做平臺？

【平臺策略】第一講：「平臺策略概論」#B1 誰在做多邊平臺 (1)

【平臺策略】第一講：「平臺策略概論」#B1 誰在做多邊平臺 (1)

【平臺策略】第一講：「平臺策略概論」#B2 誰在做多邊平臺 (2)

【平臺策略】第一講：「平臺策略概論」#B2 誰在做多邊平臺 (2)

【平臺策略】第一講：「平臺策略概論」#7 網路外部性

【平臺策略】第一講：「平臺策略概論」#7 網路外部性

【平臺策略】第一講：「平臺策略概論」#8 臨界人數

【平臺策略】第一講：「平臺策略概論」#8 臨界人數

【平臺策略】第一講：「平臺策略概論」#9 交叉補貼

【平臺策略】第一講：「平臺策略概論」#9 交叉補貼

【平臺策略】第一講：「平臺策略概論」#10 資訊不對稱

【平臺策略】第一講：「平臺策略概論」#10 資訊不對稱

【平臺策略】第一講：「平臺策略概論」#6 平臺有什麼好

【平臺策略】第一講：「平臺策略概論」#6 平臺有什麼好

【平臺策略】第一講：「平臺策略概論」#5 還有更多

【平臺策略】第一講：「平臺策略概論」#5 還有更多

【平臺策略】第一講：「平臺策略概論」#4 到處都是平臺

【平臺策略】第一講：「平臺策略概論」#4 到處都是平臺

【平臺策略】第一講：「平臺策略概論」#3 多邊平臺、經銷商與產品平臺

【平臺策略】第一講：「平臺策略概論」#3 多邊平臺、經銷商與產品平臺

【平臺策略】第一講：「平臺策略概論」#2 什麼是平臺

【平臺策略】第一講：「平臺策略概論」#2 什麼是平臺

【平臺策略】第一講：「平臺策略概論」#1 開場白

【平臺策略】第一講：「平臺策略概論」#1 開場白

[Statistics] Lecture 8: Regression Analysis (2) #4 Interaction among variables

[Statistics] Lecture 8: Regression Analysis (2) #4 Interaction among variables

[Statistics] Lecture 8: Regression Analysis (2) #6 Endogeneity

[Statistics] Lecture 8: Regression Analysis (2) #6 Endogeneity

[Statistics] Lecture 8: Regression Analysis (2) #2 Indicator variables

[Statistics] Lecture 8: Regression Analysis (2) #2 Indicator variables

[Statistics] Lecture 8: Regression Analysis (2) #1 Case study: ticket selling

[Statistics] Lecture 8: Regression Analysis (2) #1 Case study: ticket selling

[Statistics] Lecture 7: Regression Analysis (1) #5 Model validation using R square and p-value

[Statistics] Lecture 7: Regression Analysis (1) #5 Model validation using R square and p-value

[Statistics] Lecture 7: Regression Analysis (1) #8 Variable transformation and selection (2)

[Statistics] Lecture 7: Regression Analysis (1) #8 Variable transformation and selection (2)

[Statistics] Lecture 7: Regression Analysis (1) #7 Variable transformation and selection (1)

[Statistics] Lecture 7: Regression Analysis (1) #7 Variable transformation and selection (1)

[Statistics] Lecture 7: Regression Analysis (1) #3 Least square approximation (2)

[Statistics] Lecture 7: Regression Analysis (1) #3 Least square approximation (2)

[Statistics] Lecture 7: Regression Analysis (1) #2 Least square approximation (1)

[Statistics] Lecture 7: Regression Analysis (1) #2 Least square approximation (1)

[Statistics] Lecture 7: Regression Analysis (1) #1 Introduction to regression analysis

[Statistics] Lecture 7: Regression Analysis (1) #1 Introduction to regression analysis

[Statistics] Lecture 4: Probability Distributions #4 Bernoulli Distributions

[Statistics] Lecture 4: Probability Distributions #4 Bernoulli Distributions

Useful Excel Skills (4-1): AND OR NOT

Useful Excel Skills (4-1): AND OR NOT

[Statistics] Lecture 6: Hypothesis Testing #8 p-values

[Statistics] Lecture 6: Hypothesis Testing #8 p-values

[Statistics] Lecture 6: Hypothesis Testing #9 Using Excel to Calculate p-values

[Statistics] Lecture 6: Hypothesis Testing #9 Using Excel to Calculate p-values

[Statistics] Lecture 6: Hypothesis Testing #7 A one-tailed test

[Statistics] Lecture 6: Hypothesis Testing #7 A one-tailed test

[Statistics] Lecture 6: Hypothesis Testing #6 Using Excel to Do Experiments about Type-I Errors

[Statistics] Lecture 6: Hypothesis Testing #6 Using Excel to Do Experiments about Type-I Errors

[Statistics] Lecture 6: Hypothesis Testing #3 A two-tailed test

[Statistics] Lecture 6: Hypothesis Testing #3 A two-tailed test

[Statistics] Lecture 6: Hypothesis Testing #5 Using Excel to Construct a Rejection Region

[Statistics] Lecture 6: Hypothesis Testing #5 Using Excel to Construct a Rejection Region

[Statistics] Lecture 6: Hypothesis Testing #2 Basic ideas (2)

[Statistics] Lecture 6: Hypothesis Testing #2 Basic ideas (2)

[Statistics] Lecture 6: Hypothesis Testing #4 NORM.INV

[Statistics] Lecture 6: Hypothesis Testing #4 NORM.INV

[Statistics] Lecture 6: Hypothesis Testing #1 Basic ideas (1)

[Statistics] Lecture 6: Hypothesis Testing #1 Basic ideas (1)

Useful Excel Skills (3-1): LOOKUP

Useful Excel Skills (3-1): LOOKUP

[Statistics] Lecture 5: Sampling Distributions #5 Normal Distributions

[Statistics] Lecture 5: Sampling Distributions #5 Normal Distributions

[Statistics] Lecture 5: Sampling Distributions #9 Distribution of Sample Means

[Statistics] Lecture 5: Sampling Distributions #9 Distribution of Sample Means

[Statistics] Lecture 5: Sampling Distributions #10 UsingExceltoVisualizetheDistributionofSampleMeans

[Statistics] Lecture 5: Sampling Distributions #10 UsingExceltoVisualizetheDistributionofSampleMeans

[Statistics] Lecture 5: Sampling Distributions #6 Using Excel for Normal RV

[Statistics] Lecture 5: Sampling Distributions #6 Using Excel for Normal RV

[Statistics] Lecture 5: Sampling Distributions #8 Using Excel for Sample Means

[Statistics] Lecture 5: Sampling Distributions #8 Using Excel for Sample Means

[Statistics] Lecture 5: Sampling Distributions #7 Sample Mean

[Statistics] Lecture 5: Sampling Distributions #7 Sample Mean

[Statistics] Lecture 5: Sampling Distributions #4 Using Excel to Simulate a Uniform RV

[Statistics] Lecture 5: Sampling Distributions #4 Using Excel to Simulate a Uniform RV

[Statistics] Lecture 5: Sampling Distributions #3 Continuous Probability Distributions

[Statistics] Lecture 5: Sampling Distributions #3 Continuous Probability Distributions

[Statistics] Lecture 5: Sampling Distributions #1 Using Excel to Simulate Discrete Events

[Statistics] Lecture 5: Sampling Distributions #1 Using Excel to Simulate Discrete Events

[Statistics] Lecture 5: Sampling Distributions #2 Expectations and Variances

[Statistics] Lecture 5: Sampling Distributions #2 Expectations and Variances

[Statistics] Lecture 4: Probability Distributions #8 Using Excel for Binomial Distributions

[Statistics] Lecture 4: Probability Distributions #8 Using Excel for Binomial Distributions

[Statistics] Lecture 4: Probability Distributions #5 Binomial Distributions (1)

[Statistics] Lecture 4: Probability Distributions #5 Binomial Distributions (1)

[Statistics] Lecture 4: Probability Distributions #7 Using Excel for Expectation and Variance

[Statistics] Lecture 4: Probability Distributions #7 Using Excel for Expectation and Variance

[Statistics] Lecture 4: Probability Distributions #6 Binomial Distributions (2)

[Statistics] Lecture 4: Probability Distributions #6 Binomial Distributions (2)

[Statistics] Lecture 4: Probability Distributions #4 Bernoulli Distributions

[Statistics] Lecture 4: Probability Distributions #4 Bernoulli Distributions

[Statistics] Lecture 4: Probability Distributions #3 Variance

[Statistics] Lecture 4: Probability Distributions #3 Variance

[Statistics] Lecture 4: Probability Distributions #2 Expectation

[Statistics] Lecture 4: Probability Distributions #2 Expectation

[Statistics] Lecture 4: Probability Distributions #1 Random Variables

[Statistics] Lecture 4: Probability Distributions #1 Random Variables

Useful Excel Skills (2-3): Pivot Table

Useful Excel Skills (2-3): Pivot Table

Useful Excel Skills (2-2): SUMIF and IF

Useful Excel Skills (2-2): SUMIF and IF

Useful Excel Skills (2-1): COUNTIF

Useful Excel Skills (2-1): COUNTIF

[Statistics] Lecture 3: Descriptive Statistics (2) #7 Using Excel for correlation

[Statistics] Lecture 3: Descriptive Statistics (2) #7 Using Excel for correlation

[Statistics] Lecture 3: Descriptive Statistics (2) #6 Using Excel for variability

[Statistics] Lecture 3: Descriptive Statistics (2) #6 Using Excel for variability

[Statistics] Lecture 3: Descriptive Statistics (2) #5 Using Excel for central tendency

[Statistics] Lecture 3: Descriptive Statistics (2) #5 Using Excel for central tendency

[Statistics] Lecture 3: Descriptive Statistics (2) #4 Correlation

[Statistics] Lecture 3: Descriptive Statistics (2) #4 Correlation

[Statistics] Lecture 3: Descriptive Statistics (2) #3 Variability (2)

[Statistics] Lecture 3: Descriptive Statistics (2) #3 Variability (2)

[Statistics] Lecture 3: Descriptive Statistics (2) #2 Variability (1)

[Statistics] Lecture 3: Descriptive Statistics (2) #2 Variability (1)

[Statistics] Lecture 3: Descriptive Statistics (2) #1 Central tendency

[Statistics] Lecture 3: Descriptive Statistics (2) #1 Central tendency

Useful Excel Skills (1-4): Formula copying

Useful Excel Skills (1-4): Formula copying

Useful Excel Skills (1-3): Sorting and Filtering

Useful Excel Skills (1-3): Sorting and Filtering

Useful Excel Skills (1-2): Rounding

Useful Excel Skills (1-2): Rounding

Useful Excel Skills (1-1): Basic arithmetic operations

Useful Excel Skills (1-1): Basic arithmetic operations

[Statistics] Lecture 2: Descriptive Statistics (1) #6 Using Excel for histograms

[Statistics] Lecture 2: Descriptive Statistics (1) #6 Using Excel for histograms

[Statistics] Lecture 2: Descriptive Statistics (1) #5 Using Excel for basic data graphs

[Statistics] Lecture 2: Descriptive Statistics (1) #5 Using Excel for basic data graphs

[Statistics] Lecture 2: Descriptive Statistics (1) #4 Visualizing two variables

[Statistics] Lecture 2: Descriptive Statistics (1) #4 Visualizing two variables

[Statistics] Lecture 2: Descriptive Statistics (1) #3 Qualitative data graphs

[Statistics] Lecture 2: Descriptive Statistics (1) #3 Qualitative data graphs

[Statistics] Lecture 2: Descriptive Statistics (1) #2 Quantitative data graphs

[Statistics] Lecture 2: Descriptive Statistics (1) #2 Quantitative data graphs

[Statistics] Lecture 2: Descriptive Statistics (1) #1 Frequency distribution

[Statistics] Lecture 2: Descriptive Statistics (1) #1 Frequency distribution

[Statistics] Lecture 1: Basic Statistical Concepts #2 Levels of data measurement

[Statistics] Lecture 1: Basic Statistical Concepts #2 Levels of data measurement

[Statistics] Lecture 1: Basic Statistical Concepts #1 Populations vs. samples

[Statistics] Lecture 1: Basic Statistical Concepts #1 Populations vs. samples

[Platform Strategy] Lecture 5A: Platform Governance #4 Interaction management

[Platform Strategy] Lecture 5A: Platform Governance #4 Interaction management

[Platform Strategy] Lecture 5A: Platform Governance #5 Gamification

[Platform Strategy] Lecture 5A: Platform Governance #5 Gamification

[Platform Strategy] Lecture 5A: Platform Governance #3 Entry control and user screening

[Platform Strategy] Lecture 5A: Platform Governance #3 Entry control and user screening

[Platform Strategy] Lecture 5A: Platform Governance #2 Opening vs. controlling

[Platform Strategy] Lecture 5A: Platform Governance #2 Opening vs. controlling

[Platform Strategy] Lecture 4A: Platform Pricing #4 Factors determining subsidiers and subsidees (2)

[Platform Strategy] Lecture 4A: Platform Pricing #4 Factors determining subsidiers and subsidees (2)

[Platform Strategy] Lecture 4B: Platform Pricing #4 Case 3: “Airbnb”

[Platform Strategy] Lecture 4B: Platform Pricing #4 Case 3: “Airbnb”

[Platform Strategy] Lecture 4B: Platform Pricing #2 Case 1: “Online reading”

[Platform Strategy] Lecture 4B: Platform Pricing #2 Case 1: “Online reading”

[Platform Strategy] Lecture 5A: Platform Governance #1 Platform Governance

[Platform Strategy] Lecture 5A: Platform Governance #1 Platform Governance

[Platform Strategy] Lecture 4B: Platform Pricing #3 Case 2: “Video game consoles”

[Platform Strategy] Lecture 4B: Platform Pricing #3 Case 2: “Video game consoles”

[Platform Strategy] Lecture 4A: Platform Pricing #3 Factors determining subsidiers and subsidees (1)

[Platform Strategy] Lecture 4A: Platform Pricing #3 Factors determining subsidiers and subsidees (1)

[Platform Strategy] Lecture 4B: Platform Pricing #1 Summary: five factors

[Platform Strategy] Lecture 4B: Platform Pricing #1 Summary: five factors

[Platform Strategy] Lecture 4A: Platform Pricing #2 What is “not” cross subsidization

[Platform Strategy] Lecture 4A: Platform Pricing #2 What is “not” cross subsidization

[Platform Strategy] Lecture 4A: Platform Pricing #1 Cross subsidization

[Platform Strategy] Lecture 4A: Platform Pricing #1 Cross subsidization

[Platform Strategy] Lecture 3B: Information Economics #2 Car insurance company and consumer

[Platform Strategy] Lecture 3B: Information Economics #2 Car insurance company and consumer

[Platform Strategy] Lecture 3B: Information Economics #1 Gonik’s proposal

[Platform Strategy] Lecture 3B: Information Economics #1 Gonik’s proposal

[Platform Strategy] Lecture 3A: Information Economics #8 Screening and signaling: Virtual rose

[Platform Strategy] Lecture 3A: Information Economics #8 Screening and signaling: Virtual rose

[Platform Strategy] Lecture 3A: Information Economics #7 Adverse selection on online dating websites

[Platform Strategy] Lecture 3A: Information Economics #7 Adverse selection on online dating websites

[Platform Strategy] Lecture 3A: Information Economics #9 Summary

[Platform Strategy] Lecture 3A: Information Economics #9 Summary

[Platform Strategy] Lecture 3A: Information Economics #3 Screening

[Platform Strategy] Lecture 3A: Information Economics #3 Screening

[Platform Strategy] Lecture 3A: Information Economics #6 Online dating websites

[Platform Strategy] Lecture 3A: Information Economics #6 Online dating websites

[Platform Strategy] Lecture 3A: Information Economics #5 Information asymmetry on platforms

[Platform Strategy] Lecture 3A: Information Economics #5 Information asymmetry on platforms

[Platform Strategy] Lecture 3A: Information Economics #4 Signaling

[Platform Strategy] Lecture 3A: Information Economics #4 Signaling

[Platform Strategy] Lecture 3A: Information Economics #2 Moral hazard

[Platform Strategy] Lecture 3A: Information Economics #2 Moral hazard

[Platform Strategy] Lecture 3A: Information Economics #1 Basics of information economics

[Platform Strategy] Lecture 3A: Information Economics #1 Basics of information economics

[Platform Strategy] Lecture 2B: Model Choice: MSP or Merchant? #5 Case 5: “Instacart & AmazonFresh"

[Platform Strategy] Lecture 2B: Model Choice: MSP or Merchant? #5 Case 5: “Instacart & AmazonFresh"

[Platform Strategy] Lecture 2B: Model Choice: MSP or Merchant? #4 Case 4: “Car sharing”

[Platform Strategy] Lecture 2B: Model Choice: MSP or Merchant? #4 Case 4: “Car sharing”

[Platform Strategy] Lecture 2B: Model Choice: MSP or Merchant? #3 Case 3: “thredUp”

[Platform Strategy] Lecture 2B: Model Choice: MSP or Merchant? #3 Case 3: “thredUp”

[Platform Strategy] Lecture 2B: Model Choice: MSP or Merchant? #2 Case 2: “iTunes”

[Platform Strategy] Lecture 2B: Model Choice: MSP or Merchant? #2 Case 2: “iTunes”

[Platform Strategy] Lecture 2B: Model Choice: MSP or Merchant? #1 Case 1: “private communication”

[Platform Strategy] Lecture 2B: Model Choice: MSP or Merchant? #1 Case 1: “private communication”

[Platform Strategy] Lecture 2A: Model Choice: MSP or Merchant? #1 Model choice

[Platform Strategy] Lecture 2A: Model Choice: MSP or Merchant? #1 Model choice

[Platform Strategy] Lecture 1B: What are Platforms, and Why? #1 Who are running platforms? (1)

[Platform Strategy] Lecture 1B: What are Platforms, and Why? #1 Who are running platforms? (1)

[Platform Strategy] Lecture 1B: What are Platforms, and Why? #2 Who are running platforms? (2)

[Platform Strategy] Lecture 1B: What are Platforms, and Why? #2 Who are running platforms? (2)

[Platform Strategy] Lecture 1A: What are Platforms, and Why? #8 My favorite quotes

[Platform Strategy] Lecture 1A: What are Platforms, and Why? #8 My favorite quotes

[Platform Strategy] Lecture 1B: What are Platforms, and Why? #3 NegativeCross-sideNetworkExternality

[Platform Strategy] Lecture 1B: What are Platforms, and Why? #3 NegativeCross-sideNetworkExternality

[Platform Strategy] Lecture 1A: What are Platforms, and Why? #6 Cross subsidization

[Platform Strategy] Lecture 1A: What are Platforms, and Why? #6 Cross subsidization

[Platform Strategy] Lecture 1A: What are Platforms, and Why? #7 Information asymmetry

[Platform Strategy] Lecture 1A: What are Platforms, and Why? #7 Information asymmetry

[Platform Strategy] Lecture 1A: What are Platforms, and Why? #5 Critical mass

[Platform Strategy] Lecture 1A: What are Platforms, and Why? #5 Critical mass

[Platform Strategy] Lecture 1A: What are Platforms, and Why? #2 More multi-sided platforms

[Platform Strategy] Lecture 1A: What are Platforms, and Why? #2 More multi-sided platforms

[Platform Strategy] Lecture 1A: What are Platforms, and Why? #4 Network externality (effect)

[Platform Strategy] Lecture 1A: What are Platforms, and Why? #4 Network externality (effect)

[Platform Strategy] Lecture 1A: What are Platforms, and Why? #3 Why platforms?

[Platform Strategy] Lecture 1A: What are Platforms, and Why? #3 Why platforms?

[Platform Strategy] Lecture 1A: What are Platforms, and Why? #1 Introduction

[Platform Strategy] Lecture 1A: What are Platforms, and Why? #1 Introduction

臺大資管系資訊教育服務學習 109-2 學期記錄

臺大資管系資訊教育服務學習 109-2 學期記錄

「資訊經濟」第十講B「給大家的一些話」4

「資訊經濟」第十講B「給大家的一些話」4

「資訊經濟」第十講B「給大家的一些話」1

「資訊經濟」第十講B「給大家的一些話」1

「資訊經濟」第十講B「給大家的一些話」3

「資訊經濟」第十講B「給大家的一些話」3

「資訊經濟」第十講B「給大家的一些話」2

「資訊經濟」第十講B「給大家的一些話」2

「資訊經濟」第十講A「Past, Future, and Why」9

「資訊經濟」第十講A「Past, Future, and Why」9

「資訊經濟」第十講A「Past, Future, and Why」8

「資訊經濟」第十講A「Past, Future, and Why」8

「資訊經濟」第十講A「Past, Future, and Why」7

「資訊經濟」第十講A「Past, Future, and Why」7

「資訊經濟」第十講A「Past, Future, and Why」6

「資訊經濟」第十講A「Past, Future, and Why」6

「資訊經濟」第十講A「Past, Future, and Why」5

「資訊經濟」第十講A「Past, Future, and Why」5

「資訊經濟」第十講A「Past, Future, and Why」4

「資訊經濟」第十講A「Past, Future, and Why」4

「資訊經濟」第十講A「Past, Future, and Why」3

「資訊經濟」第十講A「Past, Future, and Why」3

「資訊經濟」第十講A「Past, Future, and Why」2

「資訊經濟」第十講A「Past, Future, and Why」2

「資訊經濟」第十講A「Past, Future, and Why」1

「資訊經濟」第十講A「Past, Future, and Why」1

[OR] Suggestions for presenting an OR study (3): What is a good OR study

[OR] Suggestions for presenting an OR study (3): What is a good OR study

[OR] Suggestions for presenting an OR study (2-3): visualization, pronunciation, spelling, etc.

[OR] Suggestions for presenting an OR study (2-3): visualization, pronunciation, spelling, etc.

[OR] Suggestions for presenting an OR study (2-2): presenting a formulation

[OR] Suggestions for presenting an OR study (2-2): presenting a formulation

[OR] Suggestions for presenting an OR study (2-1): skills and structure of a presentation

[OR] Suggestions for presenting an OR study (2-1): skills and structure of a presentation

[OR] Suggestions for presenting an OR study (1): The most important thing

[OR] Suggestions for presenting an OR study (1): The most important thing

「資訊經濟」第七講A「Screening under Moral Hazard」8

「資訊經濟」第七講A「Screening under Moral Hazard」8

【MS Excel】第零講：Useful Excel Skills #14 AND OR NOT

【MS Excel】第零講：Useful Excel Skills #14 AND OR NOT