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Searched for: 1 subject found.
15.076 Analytics for a Better World
(
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Prereq: Calculus I (GIR)
Units: 4-0-8
Lecture: MW11.30-1 (E51-325) Recitation: F11.30 (E51-315) +final
Introduces predictive and prescriptive analytics methods to solve problems that contribute to the welfare of society. Emphasis on using machine learning and optimization methods in innovative ways using real world data. Methods used include: linear and discrete optimization, linear and logistic regression, optimal classification and regression trees, deep learning, random forests, and boosted trees. Projects utilize Julia, Jump, and Tensor Flow. Assessment based on projects, including a capstone project. Restricted to undergraduates.
D. Bertsimas
Textbooks (Spring 2025)
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