算法代写代考包括以下内容：
Algorithms courses typically include topics such as data structures, basic algorithms, graph algorithms, dynamic programming, computational geometry, and number theory. They can also include more advanced topics such as parallel algorithms, randomized algorithms, and approximation algorithms.
Week 5 Lab 3: Task 1: Work your way through the script file. Using the help function, understand how each function works, from edge detection, Hough Transform and line detection. Write a summary of how this algorithm works, particularly when finding the start/finish of a line. Line 8: imread reads the image ‘cluttera2.jpg’ and creates […]
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1. Instructions Computer Vision and Imaging [06 30213] Computer Vision and Imaging (Dubai) [06 32578] Assessed Assignment Hamid Dehghani, School of Computer Science, University of Birmingham, U.K. April 2023 You are to work individually for this assessment, and produce one report. The report must be no more than THREE pages long including graphs and tables.
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COMP2611 Computer Organization Fall 2022 Programming Project: The Gold Miner Submission deadline: 11:55PM, Nov 30 via Canvas Copyright: All project-related materials (project description, modified MARS, project skeleton) is for personal usage of students of HKUST COMP2611 Fall 2021 offering. Disclosing on any websites other than the official course web page constitutes a breach of the
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5QQMN534: Algorithmic Independent Final Assignment Questions (75% Total Weight) Individual Assignment: Information • Start Date: 31/03/2023 10am • End date: 28/04/2023 10am • Part A: Practical Coding: 3 questions. 70% • Part B: Theory: 3 questions 30% • Questions have sub marks. • Total mark is scored out of 100. Content covered: • Practical Python
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# -*- coding: utf-8 -*- # 5QQMN534 22-23 # Candidate Number: # Do not enter Name #%% QUESTION3: Backtest RSI Strategy Do not use libraries for the RSI technical indicator. Write the mathematics for the Wilder Smoothing RSI indicator yourself. Write the functions and mathematics for portfolio metrics Use log returns #%% Set dir and
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Assignment 6: Hidden Markov Models Setup 1. Clonethisrepository: git clone (personal repository link).git 2. Navigatetotheassignment_6/directory 3. ActivateyourAIenvironmentifyou’reusingAnaconda 4. Runthefollowingcommandtoinstallallrequirementsforthisassignment: pip install -r requirements.txt Hidden Markov Models are used extensively in Artificial Intelligence, Pattern Recognition, Computer Vision, and many other fields. If a system has unobservable (hidden) states and each state is independent of the prior,
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import numpy as np import operator def gaussian_prob(x, para_tuple): “””Compute the probability of a given x value x (float): observation value para_tuple (tuple): contains two elements, (mean, standard deviation) Probability of seeing a value “x” in a Gaussian distribution. We simplify the problem so you don’t have to take care of integrals. Theoretically speaking, the
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INFS3202/7202 Individual Project 1. The individual project is intended to evaluate your proficiency in designing and developing WIS, with an emphasis on the technology aspect of the course. 2. In general, this project includes a project proposal (5 marks) and implementation (40 marks) that will be assessed in THREE milestone check- up sessions based on
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The Australian National University Research School of Computer Science Theory of Computation Release Date. Thursday Mar 12 2020 Due Date. Wednesday March 26 2020, 23.50 Canberra time Maximum credit. 50 Exercise 1 Revisiting the Myhill-Nerode Theorem Semester 1, 2020 Assignment 1 of 3 (5+5 credits) Let L be a language over an alphabet Σ. Define
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The Australian National University Research School of Computer Science Theory of Computation Release Date. Monday, May 18, 2020 Due Date. Monday, June 1, 2020, 23.50 Canberra time Maximum credit. 50 Exercise 1 Pessimistic Sat Semester 1, 2020 Assignment 3 of 3 A literal in a clause is negative if it is of the form ¬x
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