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。

ACCT7106 Individual Project Semester 2, 2023

ACCT7106 Financial Statement Analysis – Individual Project Semester 2, 2023 PROJECT OVERVIEW AND ADMINISTRATION The project provides students with an important opportunity to ‘learn by doing’. You will be asked to apply most of the analysis from the first five seminars to an Australian public company. Start working on the project early. Leaving it to […]

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COMP4620 COMP8620 Assignment 1

COMP4620/8620 – Advanced Topics in AI Decision-making under Uncertainty in Robotics Semester-2 2023 – Assignment 1 Due date: Monday, 4 September 2023 23:59 Canberra time Convenor & Lecturer: Hanna Kurniawati Update 29/08/23: • No changes in the text, just reposition the picture to look nicer 🙂 Update 22/08/23: • In each primitive step, the chair

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FIT2002 S2 2023 Assignment 1

FIT2002 IT Project Management Semester 2 – 2023 Assignment One (Team Project) Due Dates: (a) TeamChartersubmission(5%):thereisasingleTeamCharterforeachteam,andoneteammember submits the file using Moodle, and all the other team members must confirm the student statement in Moodle before the deadline: 23.55 Friday 11th August 2023 (b) Mainsubmission(95%):submiteverythingelseasanindividualusingMoodlebeforethedeadline: 23.55 Friday 8th September 2023 Value: 40% of the overall unit

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COMP90054 PDDL Project 2

# COMP90054 AI Planning for Autonomy – Project 2 – PDDL modelling 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 2, 2023 * **Instructor:** Dr. Nir Lipovetzky and Prof.

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COMP10001 Foundations of Computing

Foundations of Computing (COMP10001) Undergraduate level 1 / Points: 12.5 / On Campus (Parkville) and Dual-Delivery (Parkville) Undergraduate programs will be delivered on campus. Graduate programs will mainly be delivered on campus, with dual-delivery and online options available to a select number of subjects within some programs. To learn more, visit 2023 Course and subject

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MAT1841 Continuous mathematics for computer science Monash University

MAT1841 – Continuous mathematics for computer science The unit covers linear algebra (vectors, equations of lines and planes, solutions of simultaneous equations, determinates, Gauss elimination, Gauss-Jordan method), calculus topics (differentiation, parametric differentiation, fundamental theorem of calculus, and numerical integration), an introduction to multivariable calculus (functions of several variables, partial derivatives, tangent planes and directional derivatives),

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MAT1830 Discrete mathematics for computer science Monash University

MAT1830 – Discrete mathematics for computer science This unit introduces fundamental discrete mathematics topics including combinatorics, sets, relations and functions; methods of logic and proof, especially proof by induction; probability theory, Bayes’ theorem; recursion; recurrence relations; trees and other graphs. It establishes the mathematical basis required for studies in Computer Science and Software Engineering. Faculty

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FIT2097 Games programming 2 Monash University

FIT2097 – Games programming 2 This unit will further develop games development programming skills with the C++ language, and explore them further in the Games Programming context. Focus will be on advanced games programming techniques, including a focus on the content pipeline, advanced rendering and visual game effects. Principles will also be placed into the

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