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.
overview CSC148, Assignment #1 due January 30th, 2017, 10 p.m. Assignment 1 begins a series of two related assignments on computerized games. In this assignment you will hone your skills at designing and implementing classes, including inheritance. You will end up with a simple game interface that will pit you against a weak computer opponent. […]
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1 Ob jective n m cmax u v cuv A complete example is given by CO 353 Winter 2018: Project 1 Due: February 5 at 8pm The project consists in implementing both Prim’s algorithm and Kruskal’s algorithm for the minimum spanning tree problem. The implementation must be correct and efficient. In particular, given a graph
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CS909: 2016-2017 Exercise one: Regular expressions, Segmentation & Edit distance, FSA & FST, N-grams and language models. Submission: 12 pm Thursday March 2nd 2017 Notes: a) This exercise will contribute towards 15% of your overall mark. b) Submission should include one or more iPython notebooks and a report, where requested, as a .zip. Preparation: Getting
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Homework Number 4 Due February 28, 2017 (2 weeks) Download the zip file at this link. It a link to a file on NYUClasses — so you will need the appropriate login to download it. It will include the following files: A training file (WSJ_02-21.pos) consisting of about 950K words. Each line consists of a
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University of Lincoln School of Computer Science 2016 – 2017 Assessment Item 2 of 2 Briefing Document Title: CMP3036M Data Science Indicative Weighting: 50% Learning Outcomes On successful completion of this component a student will have demonstrated competence in the following areas: LO1 Critically apply fundamental concepts and techniques in data science LO2 Utilise state-of-the-art
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Lincoln School of Computer Science Assessment Component Briefing Document Title: CMP3103M Autonomous Mobile Robotics, Assessment Item One – Robotics Practical Assignment Indicative Weighting: 30% Learning Outcomes: On successful completion of this component a student will have demonstrated competence in the following areas: ● [LO3] implement and empirically evaluate intelligent control strategies, by programming autonomous mobile
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NLE Coursework 1 Important Information Submission format: You should submit just one file that should be a Jupyter notebook. Due date: Your notebook should be submitted on Study Direct before 4pm on Wednesday 30th November. The standard late penalties will apply. Return date: Marks and feedback will be provided on Sussex Direct on Friday December
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NLE Coursework 2 Important Information Submission format: You should submit just one file which should either be a Jupyter notebook, or a Jupyter notebook that has been zipped up with any files that it loads (e.g. images). Note that when marking your work, we will only look at the contents of the Jupyter notebook. Due date: Your
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Assignment 2: Blocky Learning goals By the end of this assignment, you should be able to: model hierarchical data using trees implement recursive operations on trees (both non-mutating and mutating) convert a tree into a flat, two-dimensional structure use inheritance to design classes according to a common interface Introduction: the Blocky game Blocky is a
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CSCI-561 – Fall 2017 – Foundations of Artificial Intelligence Homework 3 Due November 20, 2017 23:59:59 Guidelines This is a programming assignment. You will be provided sample inputs and outputs (see below). Please understand that the goal of the samples is to check that you can correctly parse the problem definitions, and generate a correctly
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