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极度视界 评论了课程: Machine Learning 2013-08-31 21:09 这个必然 5 星，很棒的入门课程；Ng老湿把编程作业设计到极为简单，而数据集并不单调，垃圾邮件分类/手写体分类等。学此课的同学，应该尝试丢掉Ng老湿给的框架，自己写一套算法，才好。这课我得了100%。 |
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极度视界 评论了课程: An Introduction to Interactive Programming in Python 2013-08-31 21:04 这课挺有意思，作业都是写小游戏。印象最深的是：Spaceship这个project，第一次感受到“面向对象编程”的威力。如果想快速掌握Python，那倒不推荐了，Just for fun! |
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极度视界 评论了课程: Web Intelligence and Big Data 2013-08-31 21:01 还没学完这课的时候我就在想：“我到底学到了什么？”。不推荐此刻，没有干货。 |
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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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计算广告学 (CourseraArchive) 5 个评论 关注 开始时间: 04/22/2022 持续时间: 8 weeks 主页: http://study.163.com/course/courseMain.htm?courseId=321007 简介: 本课程从计算广告各个阶段所遇到的市场挑战为出发点，清晰解释了广告市场纷繁复杂的产品逻辑，并且对其中的关键技术和算法做了深入的探讨。依次介绍了合约广告系统(Agreement-based Advertising)，竞价广告系统(Auction-based Advertising)，广告交易市场(Ad Exchange)等重要课题。 |
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Introduction to Recommender Systems (CourseraArchive) 3 个评论 关注 开始时间: 04/22/2022 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! |
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Scientific Computing (CourseraArchive) 1 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/scientificcomp 简介: Investigate the flexibility and power of project-oriented computational analysis, and enhance communication of information by creating visual representations of scientific data. |
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Computer Networks (CourseraArchive) 4 个评论 关注 开始时间: 04/22/2022 持续时间: Unknown 主页: https://www.coursera.org/course/comnetworks 简介: The Internet is a computer network that millions of people use every day. Understand the design strategies used to solve computer networking problems while you learn how the Internet works. |
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Discrete Optimization (CourseraArchive) 3 个评论 关注 开始时间: 04/22/2022 持续时间: 9 weeks 主页: https://www.coursera.org/course/optimization 简介: Tired of solving Sudokus by hand? This class teaches you how to solve complex search problems with discrete optimization, including constraint programming, local search, and mixed-integer programming. |
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Linear and Discrete Optimization (CourseraArchive) 1 个评论 关注 开始时间: 04/22/2022 持续时间: Unknown 主页: https://www.coursera.org/course/linearopt 简介: The course is an introduction to linear and discrete optimization - an important part of computational mathematics with a wide range of applications in many areas of everyday life. |
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Heterogeneous Parallel Programming (CourseraArchive) 4 个评论 关注 开始时间: 04/22/2022 持续时间: 9 weeks 主页: https://www.coursera.org/course/hetero 简介: This course teaches the use of CUDA/OpenCL, OpenACC, and MPI for programming heterogeneous parallel computing systems. It is application oriented and only introduces necessary technological knowledge to solidify understanding. |
