MS in Machine Learning
E62360
MS in Machine Learning is a specialized graduate program at Carnegie Mellon University focused on advanced theory and applications of machine learning and statistical methods for building intelligent systems.
Statements (41)
| Predicate | Object |
|---|---|
| instanceOf |
graduate degree program
→
master’s program → |
| country |
United States
→
|
| degreeLevel |
master’s
→
|
| emphasizes |
building intelligent systems
→
rigorous mathematical foundations → statistical reasoning → |
| fieldOfStudy |
artificial intelligence
→
machine learning → statistics → |
| focusesOn |
advanced theory of machine learning
→
applications of machine learning → deep learning → optimization for machine learning → probabilistic modeling → reinforcement learning → statistical learning theory → statistical methods for intelligent systems → supervised learning → unsupervised learning → |
| hasComponent |
coursework
→
project-based learning → research opportunities → |
| hasReputationFor |
close ties to machine learning research at CMU
→
strong theoretical training in machine learning → |
| institutionType |
private research university program
→
|
| languageOfInstruction |
English
→
|
| location |
Pittsburgh, Pennsylvania
→
|
| offeredBy |
Carnegie Mellon University
→
School of Computer Science at Carnegie Mellon University → |
| offeredByDepartment |
Machine Learning Department at Carnegie Mellon University
→
|
| preparesFor |
PhD studies in related fields
→
industry roles in machine learning → research careers in machine learning → |
| relatedTo |
MS in Artificial Intelligence
→
MS in Computer Science → |
| requiresBackgroundIn |
linear algebra
→
probability → programming → statistics → |
| targetAudience |
students with strong quantitative background
→
|
Referenced by (1)
| Subject (surface form when different) | Predicate |
|---|---|
|
Machine Learning Department, Carnegie Mellon University
→
|
offersProgram |