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。

FIT2002 S2 2023 Assignment 1

AI 人工智能代写, Computer Network 计算机网络代写

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

AI 人工智能代写, Programming Languages 编程语言代写, Web Development 网站开发代写 /

# 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

AI 人工智能代写, Data Structure 数据结构代写

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

AI 人工智能代写, Data Science 数据科学代写, Linear Algebra 线性代数代写, Numerical Methods 数值方法代写

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

AI 人工智能代写, Data Science 数据科学代写, Discrete mathematics 离散数学代写

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

AI 人工智能代写, Operating System 操作系统代写 /

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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FIT1055 IT professional practice and ethics Monash University

AI 人工智能代写

FIT1055 – IT professional practice and ethics This unit provides a practical and theoretical foundation in developing the skills required as a Professional IT graduate when entering the workplace. Topics addressed include: professional communication; teamwork; project meetings; professional computing societies code of conduct and ethics; research skills in a professional IT role; ethical reasoning theories;

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FIT1055 IT professional practice and ethics Monash University

AI 人工智能代写

FIT1055 – IT professional practice and ethics This unit provides a practical and theoretical foundation in developing the skills required as a Professional IT graduate when entering the workplace. Topics addressed include: professional communication; teamwork; project meetings; professional computing societies code of conduct and ethics; research skills in a professional IT role; ethical reasoning theories;

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