AI 人工智能代写

人工智能课程代写代考通常包括:

  • 概念教育:包括机器学习,神经网络,模式识别,自然语言处理,计算机视觉和机器人技术的基础知识。
  • 编程:入门编程语言,编写AI代码,利用不同的编程语言(Python,C++等)。
  • 数学:统计,数学建模,概率论,矩阵运算,微积分,凸优化,线性代数和统计推断等。
  • 优化:利用优化算法求解复杂问题,如路径规划和搜索。
  • 工具:TensorFlow,Keras,OpenCV,PyTorch和NumPy等。

COMP90054 AI azul game

Azul : A Competitive Game Environment for COMP90054, Semester 2, 2023 Table of contents Introduction Key files to read: Other supporting files (do not modify): Rules Winning: Computation Time: Getting Started Restrictions: Warning: Ranking Introduction For COMP90054 this semester, you will be competing against agent teams in Azul, a strategic board game. There are many

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SA4101 sa56 CICD workshop2

Page 1 of 5 DipSA CICD Workshop Due: 0900 Monday May 08 2023 Total marks: 16% of SA4101 This is an individual workshop. 1. Createthefollowingaccountsifyoudon’talreadyhavethem a. GitHub-https://github.com/ b. Railway-https://railway.app/ c. Join Slack channel https://join.slack.com/t/dipsa56-cicd/shared_invite/zt- 1txsjegdd-y6ZhPmjCSk7P~lAgZElHkA if you have not 2. DownloadtheGolangapplicationsource.Youwillbeusingthiscodebasefor the workshop. The lecturer will provide you with the download link during class. Create

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COMP90054 Assignment 3 Azul Project

Assignment 3: Azul Project You must read fully and carefully the assignment specification and instructions detailed in this file. You are NOT to modify this file in any way. Course: COMP90054 AI Planning for Autonomy @ Semester 1, 2023 Instructor: Tim Miller and Nir Lipovetzky Deadline Team Registration: Monday 1 May, 2023 @ 18:00 (start

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ACCT2019 Group Assignment 

Microsoft Word – Group Assignment case study Final – Munna’s final revision Version ACCT2019 Group Assignment  Semester 1, 2023    Instructions for Parts A & B  Scope: There are two parts in this assignment. Part A is a group assessment and Part B is an  individual assessment. Part A requires students, as a group, to carry out an analysis of the case study  (Mattusito Nature Clinic – described in this document) and submit an executive report in PowerPoint  format. Part B requires each student to map the Mattusito Nature Clinic case study data in the SAP  accounting system and complete several transactions and reports and submit a document. This  assignment requires students to demonstrate their:  i) Ability to identify and apply relevant management accounting concepts and techniques  to practical business contexts and make recommendations with a focus on the usage of  qualitative and quantitative information.  ii) Specialist SAP software skills by mapping the business scenario in SAP, determination of  relevant master data and transactions, their creation and/or execution and producing  relevant reports from the SAP accounting system.  Weighting: Part A – Case analysis – Group (15%)        Part B – SAP component – Individual (15%)  Due date: 4pm, 5 May 2023, AEDT  Submission:   • Two files should be submitted. One for Part A & one for Part B.   • Both files must be saved and submitted in PDF document format.   • Please submit in Canvas in the two folders in the ‘Assignment’ section:   i) Part A – Case analysis – Group   ii) Part B – SAP Component – Individual  Your Part A PDF file should include the cover page, PowerPoint report, appendices and the peer  evaluation form. Only ONE member from each group needs to submit Part A.   IMPORTANT INFORMATION ON ACADEMIC INTERGITY   You are not permitted to use artificial intelligence (AI) tools, such as ChatGPT, to generate any part of  your responses. AI tools cannot be relied upon to generate responses and their undeclared use will be  reported as a major breach of policy for investigation. Part A and Part B responses must be in your  own words.       Mattusito Nature Clinic is a large naturopathic clinic located in scenic Katoomba, treating patients with  Indian  traditional methods  and medicines.  It  has  qualified  resident 

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COMP3620 6320 Artificial Intelligence

“””Inference functions used with backtracking search. COMP3620/6320 Artificial Intelligence The Australian National University Authors: COMP-3620 team Date: 2022 Student Details ————— Student Name: Student Number: import collections from typing import Callable, Dict, List, Optional, Tuple from csp import CSP Assignment = Dict[str, str] Pruned = List[Tuple[str, str]] def forward_checking(var: str, assignment: Assignment, gamma: CSP) ->

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COMP3620 6320 Artificial Intelligence

“””Heuristics for variable selection and value ordering. COMP3620/6320 Artificial Intelligence The Australian National University Authors: COMP-3620 team Date: 2022 Student Details ————— Student Name: Student Number: This is where you need to write your heuristics for variable selection and value ordering. from typing import Callable, Dict, List, Optional from csp import CSP Assignment = Dict[str,

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