Python广泛应用于机器学习, 人工智能和统计数据分析等课程. 它也被很多大学作为入门语言来教授. 目前是我们代写最多的编程语言.
COSC 472/572 Big Data Assignment 4 – Create an Inverted Index Due: Monday April 13, 2015 This is a paired assignment. You must have one (and only one partner). You must submit a paper with both partners names on it by Monday March 9. Inverted indexes are one of the main data structures employed by […]
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University of Calgary Department of Computer Science Introduction to Computer Science for Multidisciplinary Studies (CPSC 217) Exercise 6 of 8 This exercise is to be completed individually and is due on March 15, 2015. Submit your solution as a Python source code file (i.e., a “.py” file) to the “Exercise 6 of 8” dropbox in
University of Calgary Department of Computer Science Introduction to Computer Science for Multidisciplinary Studies (CPSC 217) Exercise 5 of 8 This exercise is to be completed individually and is due on March 8, 2015. Submit your solution as a Python source code file (i.e., a “.py” file) to the “Exercise 5 of 8” dropbox in
University of Calgary Department of Computer Science Introduction to Computer Science for Multidisciplinary Studies (CPSC 217) Assignment 3 of 4 This assignment is to be completed individually and is due on March 22, 2015. Submit your solution as a single Python source code file (i.e., a “.py” file) Upload your submission to the “Assignment 3
CSC108: Final Project Due: December 1, 2015, 11:50 PM Late penalty: 10% per day or part thereof, of lateness, to a maximum of 2 days. Assignments not accepted after that time. Hand in: Electronic submit through MarkUs. PLEASE SUBMIT adventure.zip. Marking: All code must be your own!!! Do not discuss the questions with people other
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For your final project you will be implementing a one player version of battleship that allows the user to play against an AI. Here is a link to a version of the game you can try playing online. The differences between this version and ours, is that in our version we will announce when a
COMP 3620/6320 Assignment 4: Reinforcement Learning Semester 1, 2015 Main Details In this assignment you will implement an experiment with a number of temporal-difference (TD) learning methods in examples based on the Grid- world. This assignment will require detailed knowledge of the reinforcement learning problem and TD methods. Before starting, if you have not already
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