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Data Science (DSCI)
- datascience.usc.edu/ D class assignments are only avaialable online at: myviterbi.usc.edu. Once you create your myViterbi profile, select the "D-Clearance Request Manager" to submit requests for DSCI courses. To be enrolled in an off-campus course, you MUST also be enrolled in the Distance Education Network (DEN). For more information, call 740-4488 or go to den.usc.edu. DEN courses are indicated by a location of DEN@Viterbi. For general questions regarding DSCI courses, you may email email@example.com.
Practical applications of machine learning techniques to real-world problems. Uses in data mining and recommendation systems and for building adaptive user interfaces.
|32400R||906||Lecture||3:00-4:50pm||TuWTh||60 of 80||Mohammad Reza Rajati||ONLINE||PDF (170070 KB)|
|32402D||911||Lecture||3:00-4:50pm||TuWTh||9 of 30||Mohammad Reza Rajati||DEN@Viterbi||PDF (170070 KB)|
Data mining and machine learning algorithms for analyzing very large data sets. Emphasis on Map Reduce. Case studies.
|32401R||901||Lecture||10:00-2:10pm||Tue, Thu||38 of 60||Anna Farzindar||ZHS252 & ONLINE|
|32403D||909||Lecture||10:00-2:10pm||Tue, Thu||2 of 30||Anna Farzindar||DEN@Viterbi||PDF (335469 KB)|
Analytics for supervised and unsupervised statistical learning. Generalized linear models, discriminant analysis, support vector machines. Nonparametric classification, trees, ensemble methods, k-nearest neighbors. Principal components, clustering.
- Crosslist: This course is offered by the ISE department but may qualify for major credit in DSCI. To register, enroll in ISE 529.
|31529D||902||Lecture||4:00-6:50pm||Mon, Thu||41 of 50||Cesar Acosta-Mejia||ONLINE||PDF (314356 KB)|