In the last decade, the amount of data available to organizations has reached unprecedented levels. Companies and individuals who can use this data together with analytics give themselves an edge over the competition. In this class, we examine real world examples of how analytics have been used to transform a business or industry. These examples include Moneyball, eHarmony, the Framingham Heart Study, Twitter, IBM Watson, and Netflix. Through these examples and many more, we cover the following analytics methods and how to implement them: linear regression, logistic regression, trees, text analytics, clustering, visualization, and optimization.
- Enseignant: Dimitris Bertsimas
- Enseignant: Reda BOUCHIKHI
- Enseignant: Maryam GUESSOUS
Skill Level: Beginner
The course takes a unified view of optimization and covers the main areas of application
and the main optimization algorithms. It covers the following topics:
1. Linear Optimization
2. Robust Optimization
3. Network Flows
4. Discrete Optimization
5. Dynamic Optimization
6. Nonlinear Optimization
- Enseignant: Dimitris Bertsimas
- Enseignant: Reda BOUCHIKHI
- Enseignant: Maryam GUESSOUS
Skill Level: Beginner
