Computer Science / BCS 530Methods in Data-Enabled ResearchFall 2018 | ||||||||||||||||||||||||||||||||||||
Syllabus
Homework 1, Due 10/15 10amPlot rank vs. frequency on a log-log scale, and fit parameters for the generalized power law.Data are in: /u/cs248/data/mt/training.eng on the instructional network. Homework 2, Due 10/29 10amUse the Kolmogorov-Smirnov statistic to fit x_min and alpha for the data from the previous assignment. Discuss how the values compare with the results of HW 1, and plot both models against the data.Homework 3, Due 11/5 10amImplement a feed-forward neural net.Homework 4, Due 11/12 10amImplement backprop.For accounts, visit: https://accounts.csug.rochester.edu/ To turn in: /u/cs530/TURN_IN dir_name gildea @ cs rochester edu October 24, 2018 |