Practice Exam 1, Short Answers
Feb.23.2024
Li Chen, lic2@andrew.cmu.edu
Li Chen, lic2@andrew.cmu.edu
Closed-form of Linear Regression:
Closed-form of Ridge Regression:
Jan.31, Distributed Linear Regression, page 29-32
Li Chen, lic2@andrew.cmu.edu
Closed-form of Ridge Regression:
Jan.31, Distributed Linear Regression, page 36
Li Chen, lic2@andrew.cmu.edu
Time Complexity:
Closed-form of Ridge Regression:
Li Chen, lic2@andrew.cmu.edu
Time Complexity:
Li Chen, lic2@andrew.cmu.edu
Li Chen, lic2@andrew.cmu.edu
Li Chen, lic2@andrew.cmu.edu
Li Chen, lic2@andrew.cmu.edu
Jan.31, Distributed Linear Regression, page 37
Li Chen, lic2@andrew.cmu.edu
Li Chen, lic2@andrew.cmu.edu
Li Chen, lic2@andrew.cmu.edu
(0, 0, 0)
(0, 2, 0)
(3, 2, 0)
(3, 2, 1)
(3, 1, 1)
(3, 2, 1)
Feb.12, Hashing Theory CMS, page 25
Li Chen, lic2@andrew.cmu.edu
Li Chen, lic2@andrew.cmu.edu
HW3
Li Chen, lic2@andrew.cmu.edu
Li Chen, lic2@andrew.cmu.edu
Li Chen, lic2@andrew.cmu.edu
Li Chen, lic2@andrew.cmu.edu
x
Definition of eigenvector & eigenvalue
Multiply A to each side to construct the form AA^T
Plug in L=AA^T; lambda is a scaler
Li Chen, lic2@andrew.cmu.edu
Li Chen, lic2@andrew.cmu.edu
Jan.24, Visualization: PCA, Page 64:
1. We can use random projections by simply multiplying our dataset X by a matrix P where each element of P is chosen randomly from a Gaussian distribution.
Li Chen, lic2@andrew.cmu.edu
Jan.24, Visualization: PCA, Page 64:
2.
RP is data independent;
RP supports online-style learning;
RP has better worst-case performance than PCA. (One point can destroy PCA)
Li Chen, lic2@andrew.cmu.edu
Jan.29, Visualization: JL + t-SNE