MACHINE LEARNING
- Tín chỉ
- 3
- Bậc
- Bachelor
- Thang điểm
- 10
- Điểm qua
- 5
Mô tả
The course provided student with knowledge about major machine learning paradigms (supervised & unsupervised), problems (classification, clustering, ...), and important machine learning tools (MaxEnt, SVM, ANN - DNN, HMM, CRF, ...)
Phân bổ thời gian
Contact time: 30 sessions Home study: 30 sessions 1 session = 90 minutes
Nhiệm vụ sinh viên
- Students must attend more than 80% of contact sessions in order to be accepted to the final examination. - Student is responsible to do all exercises given by instructor in class or at home and submit on time - Promptly access to the FU CMS at http://cms.fpt.edu.vn for up-to-date course information.