Brye CS辅导

让留学生活更简单

Hi,我是Brye,来自BAT的全栈工程师

截至2024年我拥有五年的正式工作经验以及八年的留学生编程辅导经验,具有扎实的代码基础,熟悉海外各大高校常见CS课程。我曾帮助过数百位海外留学生解决课业难题,一对一解答学业和职业发展困惑。如果你需要课业帮助,欢迎通过以下方式联系我

服务承诺

保证原创
我比您更加清楚代码抄袭的严重后果,同时对代码与技术保持敬畏,从不屑于抄袭代码
保证定制
不会无脑堆砌高大上的代码,最大程度保证与您的slides或者代码风格一致
保证时间
DDL是我坚持的底线,通常会协商好时间,期间可随时同步进度
保证质量
基本全A通过,不达预期的可以保证部分甚至全额退款,值得信赖
保证售后
代码的交付远远不是一次服务的结束,承诺提供答疑,对结果负责到底
保证隐私
代码不会进行二次售卖、发布、公开和传播,交易成功之后您具有作品的全部权益

服务范围

覆盖院校
覆盖北美、英国、澳洲、加拿大等知名院校
服务课程
CS本科到硕士常见课程 Data Structure / Artificial Intelligence / Algorithm / Database / Web / ...
编程语言
常用编程语言 C / C++ / Python / Java / Haskell / Prolog 等
作业类型
Quiz / Assignment / Project / Lab / Homework 等

近期案例

注:来源于近期网络整理和自动爬取或半年前完成的案例,不会发布近期客户的需求

ESC190Project 1autocompleteUofT

ESC190 Project 1

ESC190 Project 1 Submitting your projectSubmit the file autocomplete.con Gradescope.The file will be compiled using.shellgcc Wall std=99 autocomplete.c main.c o autocomplteThe file autocomplete.h that is given to you will be present in the same fold...

CS7150Homework 2Notheastern University

CS7150 Homework 2

CS7150 Homework 2 Sampled SoftmaxWe talked about softmax classifer in the class. Suppose there are C classes. A softmaxclassifier takes feature vector x ∈ R computes logits then predicts its probability of ith class as where wi ∈ Rd, bi ∈ R, i = 1, ...

CS6120Homework 1Notheastern UniversityNatural Language Processing

CS6120 Natural Language Processing Assignment 0

CS6120 Natural Language Processing Assignment 0 ScenarioA regular expression (RE) is a sequence of characters that forms a search pattern. RE can be used for string searching and manipulation tasks, such as finding, replacing, or validating text. Re...

ECS759PFinal ExamQueen Mary University of LondonArtificial Intelligence

ECS759P Final Exam

ECS759P Artificial Intelligence Final Exam Answer FOUR questions. You MUST adhere to the word limits, where specified in the questions. Answer text beyond the word limit will not be marked. This paper requires two hours work. There is an extra hour...

CS7150Homework 1Notheastern University

CS7150 Homework 1

CS7150 Homework 1 Problem 1Consider a 2 dimensional random Gaussian vector,1. (10’) Derive the joint entropy H(x)2. (10’) Derive the mutual information I(x1; x2)3. (10’) If ρ can be varied, when is the joint entropy maximized? what is the mutual inf...