Python代写｜机器学习代写 - CSE 5523: Machine Learning
• Total points = 55. Full Mark = 50. • Read each problem statement carefully. Make sure that you answer exactly what is required and
that your solution is expressed clearly.
• Some notation introduced in class, e.g., the notation we used for true risk, empirical risk,
the output of a learning algorithm given a training set, parameter vectors, etc., will be
used here directly without being defined again. Please, refer to the notes if you have any
confusion about the notation. Also, here k · k will be used to denote the Euclidean (i.e., L2) norm.
• You may use any result covered in class, but please cite the result that you use.