图论课程
图论课程可以帮助您学习顶点、边、路径和循环，以及连通性和图着色等概念。您可以掌握适用于计算机科学、生物学和社会科学等各个领域的 Network 分析、Algorithm 设计和问题解决技巧。许多课程都会介绍用于图分析的 Python 库、Visualization 软件和优化 Networking 流量的算法等工具，让您能够将所学知识应用到现实世界的数据和复杂系统中。
热门图论课程和认证
Northeastern University
您将获得的技能: Model Evaluation, Linear Algebra, Statistical Machine Learning, Model Optimization, Statistical Modeling, Probability, Probability & Statistics, Statistical Methods, Bayesian Statistics, Probability Distribution, Machine Learning, Applied Mathematics, Algorithms, Statistical Inference, Verification And Validation, Dimensionality Reduction
您将获得的技能: Data Structures, Object Oriented Programming (OOP), Object Oriented Design, Java Programming, Computational Thinking, Java, Algorithms, Programming Principles, Computer Programming, Solution Design
总之，以下是 2 最受欢迎的 graph theory 课程
- Foundations of Statistical Learning & Algorithms: Northeastern University
- Advanced Concepts in Recursion, Backtracking, and OOP: Packt
