15.071 数据分析优势（The Analytics Edge）

MIT Course 15 · Operations Research/Statistics · 课号 15.071

TL;DR

• 以真实产业案例（最高法院判决预测、推特情感、Netflix 推荐）驱动的数据分析核心课。

• 融会贯通线性回归、逻辑回归、分类回归树（CART）、随机森林与聚类算法。

• 将预测模型无缝接入整数规划与线性优化，实现从预测洞察向可落地决策的端到端跃迁。

• 同一课程的其他编号 / Also listed as: 15.0711、15.727（MIT 目录中同一门课程的不同班级/项目编号）

课程简介 / Description

This course presents real-world examples in which quantitative methods provide a significant competitive edge that has led to a first order impact on some of today's most important companies. We outline the competitive landscape and present the key quantitative methods that created the edge (data-mining, dynamic optimization, simulation), and discuss their impact.

讲义 / Lecture Notes

• 1.2
  • Introduction to Analytics
  • Introduction to the Analytics Edge (PDF)
• 1.3
  • Introduction to R and the Analytics of Google’s Search Engine
  • Introduction to the R Programming Language (PDF)
• 1.4
  • Recitation: Understanding Food
  • Nutritional Education with Data (PDF - 2.1MB)
• 2.2
  • Predicting the Quality of Wine
  • Introduction to Linear Regression (PDF - 1.3MB)
• 2.3
  • Moneyball: Sport Analytics
  • The Power of Sports Analytics (PDF - 1.4MB)
• 2.4
  • Recitation: Playing Moneyball in the NBA
  • No notes
• 3.2
  • Modeling the Expert
  • An Introduction to Logistic Regression (PDF - 1.2MB)
• 3.3
  • The Framingham Heart Study
  • Evaluating Risk Factors to Save Lives (PDF)
• 3.4
  • Recitation: Predicting the Winner Before any Votes are Cast
  • Election Forecasting (PDF)
• 4.2
  • Forecasting Supreme Court Decisions
  • An Introduction to Trees (PDF - 1.1MB)
• 4.3
  • Predicting Healthcare Costs
  • The D2Hawkeye Story (PDF - 1.3MB)
• 4.4
  • Recitation: Location, Location, Location
  • Regression Trees for Housing Data (PDF - 1.1MB)
• 5.2
  • Sentiment Detection and Text Analytics
  • Turning Tweets into Knowledge (PDF)
• 5.3
  • IBM Watson
  • How IBM Built a Jeopardy Champion (PDF - 1.1MB)
• 5.4
  • Recitation: Predictive Coding
  • Bringing Text Analytics to the Courtroom (PDF)
• 6.2
  • Recommendation Systems: Netflix Movie Data
  • Introduction to Clustering (PDF - 1.3MB)
• 6.3
  • Clustering for Customer Segmentation and Patterns of Heart Attacks
  • Discovering Patterns for Disease Detection (PDF - 1.4MB)
• 6.4
  • Recitation: Seeing the Big Picture
  • Segmenting Images to Create Data (PDF)
• 7.2
  • Visualizing the World
  • An Introduction to Visualization (PDF)
• 7.3
  • Visualization for Law and Order
  • Predictive Policing (PDF)
• 7.4
  • Recitation: The Good, the Bad, and the Ugly
  • Bad vs. Good Visualizations (PDF)
• 8.2
  • Airline Revenue Management
  • Introduction to Linear Optimization (PDF - 6.3MB)
• 8.3
  • Radiation Therapy
  • An Application of Linear Optimization (PDF - 1.8MB)
• 8.4
  • Recitation: Google AdWords
  • Optimizing Online Advertising (PDF - 1.1MB)
• 9.2
  • Sports Scheduling
  • An Introduction to Integer Optimization (PDF - 1.1MB)
• 9.3
  • eHarmony and Integer Optimization
  • Maximizing the Probability of Love (PDF)
• 9.4
  • Recitation: Operating Room Scheduling
  • An Optimization Model for Hospitals (PDF)

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