COS 324 - Introduction to Machine Learning

Fall 2017

Assignments

Assignments

Assignment 1: hw1.pdf [submit] Solution: hw1_solution.pdf
Assignment 2: hw2.pdf [submit] Solution: class-text-solution.ipynb
Assignment 3: hw3.pdf [submit] Solution: hw3_solution.pdf
Assignment 4: hw4.pdf [submit] Solution: hw4_solution.pdf
Assignment 5: hw5.pdf [submit] Solution: regress-solution.ipynb
Assignment 6: hw6.pdf [submit] Solution: multi-class-solved.ipynb
Assignment 7: hw7.pdf [submit] Solution: hw7_solution.pdf
Assignment 8: hw8.pdf [submit] Solution: csol.ipynb

Formatting

You are encouraged to use LaTeX to typeset your solutions. Here is a submission template for a single problem, and this is what it compiles to.

Midterm

There will be a midterm worth 20% of the final grade. The midterm will be during class time on Thu, Oct 26. No alternate times will be offered.

Midterm solution: midterm_solution.pdf

Collaboration Policy

Consulting with other students from this course is allowed. If you do so, clearly state whom you consulted with for each problem separately.
Searching the internet or literature for solutions is prohibited.
You are not allowed to reuse others' code from any source.

Late Policy

Assignments are due in class a week after announcement. You are given 5 free late days that you can use any time during the semester, with at most 2 late days per assignment. Once you use up your 5 free late days, you will incur a penalty of 20% for each additional late day.

Note that no assignment will be accepted more than 2 days late.

Last update 21-Jan-2018 01:31:02