Machine Learning 机器学习代写

cs131 Homework 5. Scheme code difference analyzer

Homework 5. Scheme code difference analyzer The problem Your employer Litigious Data Analysts Inc. (LDA) is suing Software Verification Modules Inc. (SVM), claiming that SVM stole large bodies of LDA’s code and incorporated it into their data mining product, while tring to hide the fact that the code was stolen by renaming identifiers and by …

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CS6601 Fall Exam

CS6601 Final Exam Professor Thomas Ploetz Fall 2023 1. Before solving the exam, you should read the Ed exam posts for any updated information or clarifications on the exam. 2. You should work on this pdf in parallel with the canvas exam to ensure your work is always backed up. 3. Enter your answers as …

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ISyE7406 Take Home Final Exam

Take-Home Final Exam for ISyE 7406 This is an open-book take-home final exam. You are free to use any recourses including textbooks, notes, computers and internet, but no collaborations are allowed, particularly you cannot commu- nicate, online or orally, with any other people about this midterm (except the TAs or instructor via piazza if you …

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CS6601 Fall Exam

CS6601 Final Exam Professor Thomas Ploetz Fall 2023 1. Before solving the exam, you should read the Ed exam posts for any updated information or clarifications on the exam. 2. You should work on this pdf in parallel with the canvas exam to ensure your work is always backed up. 3. Enter your answers as …

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CS6601 Fall Exam

CS6601 Final Exam Professor Thomas Ploetz Fall 2023 1. Before solving the exam, you should read the Ed exam posts for any updated information or clarifications on the exam. 2. You should work on this pdf in parallel with the canvas exam to ensure your work is always backed up. 3. Enter your answers as …

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6006CEM Assignment

Assignment Task For this coursework, you are required to select a real-world problem of your choice and apply various machine learning algorithms and methods to solve the selected problem. This problem could be a classification, regression, or clustering problem. Your first task comprises the following: 1. Select a real-world problem. 2. Select suitable dataset(s) for …

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spark assignment

Part 1: The Machine Learning and Spark part Question 1: Supervised Learning (4 marks) You are going to train an SVM classifier on the ‘adult’ dataset from Penn Machine learning Benchmarks: https://epistasislab.github.io/pmlb/profile/adult.html data description https://github.com/EpistasisLab/pmlb/tree/master/datasets/adult the data (if you don’t know how to open a gzip file, download 7 zip for windows, or find whatever …

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ELEC70037 Coursework

Data Processing Exercise Topics in Large Dimensional Data Processing Exercise Wei Dai October 30, 2023 EEE Department, Imperial College London Code Help, Add WeChat: cstutorcs Contents i Teaching Organisaion 1 Teaching Organisation 2 1.1. Overview……………………………………….. 2 1.2. Coursework ……………………………………… 2 1.2.1. Schedule ……………………………………. 2 1.2.2. Marking(forCoursework1-3) …………………………. 3 1.3. SoftwareforCoursework1-3 ……………………………… 4 1.3.1. JuliaforProgramming …………………………….. …

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COMP9313 project2 Frequent item set

Frequent item set mining in E- commerce transaction logs Background: Frequent item set mining is a fundamental task in data mining. It involves identifying sets of items (or elements) that frequently occur together in a given dataset. This technique is widely used in various applications, including market basket analysis, recommendation systems, bioinformatics, and network analysis. …

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