Assignments

Assignments#

Problem set #1#

  1. Reproduce the figure for Q3 in the Pre-course Quiz. (Figure Link) Figure credit: Nicolas P. Rougier (2021).

  2. Complete Exercise 5.7 in Hsieh’s book. (Source data: Milwaukee_wind_direction_ozone.csv)

  1. Complete Exercise 5.8 in Hsieh’s book. (Source data: SWE_tele.csv)

  2. Complete Exercise 5.9 in Hsieh’s book. (Source data: SWE_tele.csv)

Problem set #2#

  1. Complete Exercise 6.5 in Hsieh’s book. Please build an MLP NN model and use the cross-validation technique to tune at least one model hyperparameter other than the learning rate. (Source data: SWE_tele.csv)

  2. Complete Exercise 8.1 in Hsieh’s book. Please tune the learning rate for the MLP NN model. I have generated the input data for you, which can be downloaded from this link (data_noise-*.csv).

  3. Visualize the regression results of Exercise 8.1 at least for the case with the Gaussian noise at 0.5 times the standard deviation of \( y_{\textrm{signal}}\).

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