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Machine Learning (CourseraArchive) 7 个评论 关注 开始时间: 04/22/2022 持续时间: Unknown 主页: https://www.coursera.org/course/machlearning 简介: Why write programs when the computer can instead learn them from data? In this class you will learn how to make this happen, from the simplest machine learning algorithms to quite sophisticated ones. Enjoy! |
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Introduction to Statistics (Udacity) 3 个评论 关注 开始时间: 04/22/2022 持续时间: 自主 主页: https://www.udacity.com/course/st101 简介: Statistics is about extracting meaning from data. In this class, we will introduce techniques for visualizing relationships in data and systematic techniques for understanding the relationships using mathematics. |
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jQuery (Coursera专项课程) 3 个评论 关注 开始时间: 04/22/2022 持续时间: free 主页: http://www.codecademy.com/zh/tracks/jquery 简介: jQuery is a way to create interactive websites. You can move HTML elements around, build custom animations, and let your users affect your site with a mouse click! |
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Neural Networks for Machine Learning (CourseraArchive) 5 个评论 关注 开始时间: 04/22/2022 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. |
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Machine Learning (CourseraArchive) 29 个评论 关注 开始时间: 04/22/2022 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. |
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Artificial Intelligence for Robotics (Udacity) 2 个评论 关注 开始时间: 04/22/2022 持续时间: 自主 主页: https://www.udacity.com/course/cs373 简介: This course will cover probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics. |
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Introduction to Artificial Intelligence (Udacity) 2 个评论 关注 开始时间: 04/22/2022 持续时间: 自主 主页: https://www.udacity.com/course/cs271 简介: The objective of this class is to teach you modern AI. You will learn about the basic techniques and tricks of the trade. We also aspire to excite you about the field of AI. |
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Introduction to Parallel Programming (Udacity) 1 个评论 关注 开始时间: 04/22/2022 持续时间: 自主 主页: https://www.udacity.com/course/cs344 简介: You'll master the fundamentals of massively parallel computing by using CUDA C/C++ to program modern GPUs. You'll learn the GPU programming model and architecture, key algorithms and parallel programming patterns, and optimization techniques. Your assignments will illustrate these concepts through image processing applications, but this is a parallel computing course and what you learn will translate to any application domain. Most of all we hope you'll learn how to think in parallel. |
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Artificial Intelligence (EdxArchive) 6 个评论 关注 开始时间: 04/22/2022 持续时间: 12 weeks 主页: https://www.edx.org/archive/artificial-intelligence-uc-berkeleyx-cs188-1x 简介: UC Berkeley's upper division course CS188: Introduction to Artificial Intelligence now available to everyone online. |
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Introduction to Theoretical Computer Science (Udacity) 1 个评论 关注 开始时间: 04/22/2022 持续时间: 自主 主页: https://www.udacity.com/course/cs313 简介: This class teaches you about basic concepts in theoretical computer science -- such as NP-completeness -- and what they imply for solving tough algorithmic problems. |
