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。

FIT3080 Assignment 1 S2 2022

FIT3080 Artificial Intelligence Assignment 1 2nd Semester 2022 This assignment is worth 14% of your final mark (subject to the hurdles described in the FIT3080 Moodle Unit Information page). Wednesday 7th September 2022, 11:55pm (Melbourne time) There are 4 questions in total with 100 available marks. Make sure you read this specification carefully. You should […]

FIT3080 Assignment 1 S2 2022 Read More »

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),

MAT1841 Continuous mathematics for computer science Monash University Read More »

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

MAT1830 Discrete mathematics for computer science Monash University Read More »

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

FIT2097 Games programming 2 Monash University Read More »

FIT1055 IT professional practice and ethics Monash University

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;

FIT1055 IT professional practice and ethics Monash University Read More »

FIT1055 IT professional practice and ethics Monash University

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;

FIT1055 IT professional practice and ethics Monash University Read More »

CS6601 Search

CS 6601: Artificial Intelligence – Assignment 1 Clone the repository and activate the Conda repository you created in Assignment 0: Search is an integral part of AI. It helps in problem solving across a wide variety of domains where a solution isn’t immediately clear. You will implement several graph search algorithms with the goal of

CS6601 Search Read More »

COMP9417 Final Exam 22T2

NAME OF CANDIDATE: …………………………………………….. STUDENT ID: …………………………………………….. SIGNATURE: …………………………………………….. THE UNIVERSITY OF NEW SOUTH WALES Term 2, 2022 COMP9417 Machine Learning and Data Mining – Final Examination 1. TIME ALLOWED — 24 HOURS 2. THIS EXAMINATION PAPER HAS 12 PAGES 3. TOTAL NUMBER OF QUESTIONS — 4 4. ANSWER ALL 4 QUESTIONS 5. TOTAL MARKS

COMP9417 Final Exam 22T2 Read More »

COMP9491 Applied Artificial Intelligence

COMP9491 Applied Artificial Intelligence 该课程涵盖了人工智能的一些高级主题,包括计算机视觉、语音和语言处理、深度学习以及知识表示和推理等方面。课程旨在整合这些不同的人工智能方面,并展示案例研究,展示这些不同方法的整合如何产生有趣的应用。项目开发是该课程的主要组成部分,旨在解决一个实际的或行业的问题,该问题要求将多种类型的人工智能技术进行整合,包括符号化人工智能(如知识表示和推理)和深度学习,其中包括计算机视觉、语音和语言处理等应用示例。评估以小组项目开发为基础。 要报名参加这门课程,需要满足以下条件: 1. 已修读以下课程: – 从COMP9814或COMP9414中选修6个UOC(学分); – 从COMP9444/COMP9417/COMP9517/COMP4418中选修12个UOC。 2. 学生必须具备70或更高的加权平均分(WAM)。 这些条件确保学生具备人工智能和相关主题的基础知识,并在先前的课程中取得了良好的学术记录。满足这些要求将使学生有资格报名参加本课程。

COMP9491 Applied Artificial Intelligence Read More »