星空下的巫师

计算机视觉,模式识别,机器学习,统计学习@东南大学,南京,中国~

江苏 南京

感兴趣的主题: 系统工程 复杂网络 UNR 机器学习 NBA 模式识别 东南大学 计算机视觉

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Machine Learning (Coursera) 28 个评论 关注

开始时间: 待定 持续时间: Unknown

主页: https://www.coursera.org/course/ml

简介: Learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.

Probabilistic Graphical Models (Coursera) 5 个评论 关注

开始时间: 04/08/2013 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.

Neural Networks for Machine Learning (Coursera) 5 个评论 关注

开始时间: 待定 持续时间: 8 weeks

主页: https://www.coursera.org/course/neuralnets

简介: Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language and human motion, etc. We'll emphasize both the basic algorithms and the practical tricks needed to get them to work well.

Computer Vision: From 3D Reconstruction to Visual Recognition (Coursera) 0 个评论 关注

开始时间: 待定 持续时间: 未知

主页: https://www.coursera.org/course/computervision

简介: This course delivers a systematic overview of computer vision, emphasizing two key issues in modeling vision: space and meaning. We will study the fundamental theories and important algorithms of computer vision together, starting from the analysis of 2D images, and culminating in the holistic understanding of a 3D scene.

Einführung in Computer Vision (Coursera) 0 个评论 关注

开始时间: 01/19/2015 持续时间: 10 weeks

主页: https://www.coursera.org/course/compvision

简介: Dieser Kurs vermittelt einen Überblick über die Grundlagen des Maschinellen Sehens an Hand der Extraktion von 3D-Information aus dem Stereokamerabild einer Szene.

Coding the Matrix: Linear Algebra through Computer Science Applications (Coursera) 9 个评论 关注

开始时间: 02/02/2015 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.

Computational Methods for Data Analysis (Coursera) 1 个评论 关注

开始时间: 01/05/2015 持续时间: 10 weeks

主页: https://www.coursera.org/course/compmethods

简介:

Exploratory and objective data analysis methods applied to the physical, engineering, and biological sciences.

Introduction to Mathematical Thinking (Coursera) 2 个评论 关注

开始时间: 09/21/2015 持续时间: 10 weeks

主页: https://www.coursera.org/course/maththink

简介: Learn how to think the way mathematicians do - a powerful cognitive process developed over thousands of years.

Introduction to Recommender Systems (Coursera) 3 个评论 关注

开始时间: 待定 持续时间: Unknown

主页: https://www.coursera.org/course/recsys

简介: This course introduces the concepts, applications, algorithms, programming, and design of recommender systems--software systems that recommend products or information, often based on extensive personalization. Learn how web merchants such as Amazon.com personalize product suggestions and how to apply the same techniques in your own systems!

Algorithms, Part II (Coursera) 5 个评论 关注

开始时间: 03/16/2016 持续时间: 6 weeks

主页: https://www.coursera.org/course/algs4partII

简介: This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations.

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