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Probabilistic Graphical Models (CourseraArchive) 5 个评论 关注 开始时间: 04/22/2022 持续时间: 11 weeks 主页: https://www.coursera.org/course/pgm 简介: In this class, you will learn the basics of the PGM representation and how to construct them, using both human knowledge and machine learning techniques. |
Compilers (CourseraArchive) 2 个评论 关注 开始时间: 04/22/2022 持续时间: 11 weeks 主页: https://www.coursera.org/course/compilers 简介: This course will discuss the major ideas used today in the implementation of programming language compilers. You will learn how a program written in a high-level language designed for humans is systematically translated into a program written in low-level assembly more suited to machines! |
组合数学 (学堂在线) 0 个评论 关注 开始时间: 04/22/2022 持续时间: 未知 主页: https://www.xuetangx.com/courses/TsinghuaX/60240013X/_/about 简介: 组合数学是计算机出现以后迅速发展起来的一门数学分支,主要研究离散对象的存在、计数以及构造等方面问题。由于计算机软件的促进和需求,组合数学已成为一门既广博又深奥的学科,其发展奠定了本世纪的计算机革命的基础,并且改变了传统数学中分析和代数占统治地位的局面。本课程从排列组合的基本概念出发,系统介绍了有关组合计数的理论和方法,主要内容包括计数的基本法则、母函数与递推关系、鸽巢原理和容斥原理、波利亚计数定理。这虽然是一门研究生课程,但是学习者只需要具备初等的数理知识就可以开始学习。我们将从基础的排列组合开始,逐步深入了解计数问题的不同解决思路,通过对现实生活中计数问题的演绎和学生们共同体会组合计数问题不断抽象深入的挖掘过程,引导学生共同感受数学知识的精妙,从而深入理解组合数学对计算机理论发展的推动作用。 |
Text Retrieval and Search Engines (CourseraArchive) 0 个评论 关注 开始时间: 04/22/2022 持续时间: 4 weeks 主页: https://www.coursera.org/course/textretrieval 简介: Search engines are essential tools for managing and mining big text data. Learn how search engines work, the major search algorithms, and how to optimize search accuracy. |
Mining Massive Datasets (CourseraArchive) 1 个评论 关注 开始时间: 04/22/2022 持续时间: 7 weeks 主页: https://www.coursera.org/course/mmds 简介: This class teaches algorithms for extracting models and other information from very large amounts of data. The emphasis is on techniques that are efficient and that scale well. |
Recommender Systems Specialization (Coursera专项课程) 0 个评论 关注 开始时间: 12/21/2023 持续时间: Approximately 5 months to complete Suggested pace of 3 hours/week 主页: https://www.coursera.org/specializations/recommender-systems 简介: 明尼苏达大学的推荐系统专项课程系列(Recommender Systems Specialization),这个系列由4门子课程和1门毕业项目课程组成,包括推荐系统导论,最近邻协同过滤,推荐系统评价,矩阵分解和高级技术等,感兴趣的同学可以关注:Master Recommender Systems-Learn to design, build, and evaluate recommender systems for commerce and content. |
Probabilistic Graphical Models Specialization (Coursera专项课程) 0 个评论 关注 开始时间: 12/21/2023 持续时间: Approximately 4 months to complete Suggested pace of 11 hours/week 主页: https://www.coursera.org/specializations/probabilistic-graphical-models 简介: 斯坦福大学 Daphne Koller 教授的概率图模型专项课程系列(Probabilistic Graphical Models Specialization),作为Coursera上最早的几门课程之一,这门概率图模型课程的相当有难度,完成作业拿到证书还是很有挑战的,感兴趣的同学可以关注:Probabilistic Graphical Models-Master a new way of reasoning and learning in complex domains |