ECE 175A Machine learning and Pattern Recognition

• Average Rating: 7.0
• Average Grading: 7.0
• Average Loading: 3.0

  2018

  Spring

• Professor: Nuno Vasconcelos
• Rating: 7/10
• Grading: 7/10
• Loading: 3/10
• Grade:
  • Avg: 3.03
• Reason for Taking this Course: Interest
• Grading Structure:
  • HW: 20% 2
  • Midterm: 35%
  • Final: 45%
• Course Content:

Linear Algebra review Probability review Metrics, whitening, nearest neighbors Bayes decision rule Dimensionality Principal Component Analysis Linear Discriminant Analysis Maximum likelihod estimation Clustering, k-means Hyperplane classifiers Support Vector Machine Kernels Applications Number of classes

• Review:
  選過271A 的人會超級輕鬆，作業不難，如果真的不會可以去OH，大學生都不去，所以你可以問到很細，把ML的基礎搞清楚。這堂課gpa那麼低我覺得是大學生太混造成...，期中考會考 nearest neighbor，不要寫錯應該就有A。有前幾年考古題解答，需要跟學長姊要