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Text Mining and Analytics (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/textanalytics 简介: Explore algorithms for mining and analyzing big text data to discover interesting patterns, extract useful knowledge, and support decision making. |
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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. |
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Cluster Analysis in Data Mining (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/clusteranalysis 简介: Learn how to take scattered data and organize it into groups, for use in many applications such as market analysis and biomedical data analysis, or taken as a pre-processing step for many data mining tasks. |
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Data Visualization (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/datavisualization 简介: Learn how to transform information from a format efficient for computation into a format efficient for human perception, cognition and communication. Explore elements of computer graphics, human computer interaction, perceptual psychology and design, in addition to data processing and computation. |
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Pattern Discovery in Data Mining (CourseraArchive) 1 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/patterndiscovery 简介: Learn the basic concepts of data mining and dive deep into pattern discovery methods and their applications. |
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Coding the Matrix: Linear Algebra through Computer Science Applications (CourseraArchive) 9 个评论 关注 开始时间: 04/22/2022 持续时间: 10 weeks 主页: https://www.coursera.org/course/matrix 简介: Learn the concepts and methods of linear algebra, and how to use them to think about computational problems arising in computer science. Coursework includes building on the concepts to write small programs and run them on real data. |
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麻省理工公开课：线性代数 (网易公开课) 0 个评论 关注 开始时间: 04/22/2022 持续时间: 麻省理工公开课：线性代数 主页: http://v.163.com/special/opencourse/daishu.html 简介: “线性代数”，同微积分一样，是高等数学中两大入门课程之一，不仅是一门非常好的数学课程，也是一门非常好的工具学科，在很多领域都有广泛的用途。它的研究对象是向量，向量空间（或称线性空间），线性变换和有限维的线性方程组。本课程讲述了矩阵理论及线性代数的基本知识，侧重于那些与其他学科相关的内容，包括方程组、向量空间、行列式、特征值、相似矩阵及正定矩阵。 |
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Introduction to Probability - The Science of Uncertainty (EdxArchive) 3 个评论 关注 开始时间: 04/22/2022 持续时间: 16 weeks 主页: https://www.edx.org/archive/introduction-probability-science-mitx-6-041x-0 简介: An introduction to probabilistic models, including random processes and the basic elements of statistical inference. |
