课程信息

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学生职业成果

50%

完成这些课程后已开始新的职业生涯

67%

通过此课程获得实实在在的工作福利

29%

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完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
第 2 门课程(共 6 门)
可灵活调整截止日期
根据您的日程表重置截止日期。
完成时间大约为31 小时
英语(English)
字幕:英语(English), 韩语

您将获得的技能

Information Retrieval (IR)Document RetrievalMachine LearningRecommender Systems

学生职业成果

50%

完成这些课程后已开始新的职业生涯

67%

通过此课程获得实实在在的工作福利

29%

加薪或升职
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
第 2 门课程(共 6 门)
可灵活调整截止日期
根据您的日程表重置截止日期。
完成时间大约为31 小时
英语(English)
字幕:英语(English), 韩语

讲师

提供方

伊利诺伊大学香槟分校 徽标

伊利诺伊大学香槟分校

立即开始攻读硕士学位

此 课程 隶属于 伊利诺伊大学香槟分校 提供的 100% 在线 Master in Computer Science。如果您被录取参加全部课程,您的课程将计入您的学位学习进程。

教学大纲 - 您将从这门课程中学到什么

内容评分Thumbs Up90%(2,509 个评分)Info
1

1

完成时间为 2 小时

Orientation

完成时间为 2 小时
2 个视频 (总计 15 分钟), 6 个阅读材料, 2 个测验
2 个视频
Course Introduction Video11分钟
6 个阅读材料
Welcome to Text Retrieval and Search Engines!10分钟
Syllabus10分钟
About the Discussion Forums10分钟
Updating your Profile10分钟
Social Media10分钟
Course Errata10分钟
2 个练习
Orientation Quiz15分钟
Pre-Quiz30分钟
完成时间为 4 小时

Week 1

完成时间为 4 小时
6 个视频 (总计 94 分钟), 1 个阅读材料, 2 个测验
6 个视频
Lesson 1.2: Text Access9分钟
Lesson 1.3: Text Retrieval Problem26分钟
Lesson 1.4: Overview of Text Retrieval Methods10分钟
Lesson 1.5: Vector Space Model - Basic Idea9分钟
Lesson 1.6: Vector Space Retrieval Model - Simplest Instantiation17分钟
1 个阅读材料
Week 1 Overview10分钟
2 个练习
Week 1 Practice Quiz1小时
Week 1 Quiz1小时
2

2

完成时间为 4 小时

Week 2

完成时间为 4 小时
6 个视频 (总计 102 分钟), 1 个阅读材料, 2 个测验
6 个视频
Lesson 2.2: TF Transformation9分钟
Lesson 2.3: Doc Length Normalization18分钟
Lesson 2.4: Implementation of TR Systems21分钟
Lesson 2.5: System Implementation - Inverted Index Construction18分钟
Lesson 2.6: System Implementation - Fast Search17分钟
1 个阅读材料
Week 2 Overview10分钟
2 个练习
Week 2 Practice Quiz1小时
Week 2 Quiz1小时
3

3

完成时间为 7 小时

Week 3

完成时间为 7 小时
6 个视频 (总计 75 分钟), 2 个阅读材料, 3 个测验
6 个视频
Lesson 3.2: Evaluation of TR Systems - Basic Measures12分钟
Lesson 3.3: Evaluation of TR Systems - Evaluating Ranked Lists - Part 115分钟
Lesson 3.4: Evaluation of TR Systems - Evaluating Ranked Lists - Part 210分钟
Lesson 3.5: Evaluation of TR Systems - Multi-Level Judgements10分钟
Lesson 3.6: Evaluation of TR Systems - Practical Issues15分钟
2 个阅读材料
Week 3 Overview10分钟
Programming Assignments Overview10分钟
2 个练习
Week 3 Practice Quiz1小时
Week 3 Quiz1小时
4

4

完成时间为 4 小时

Week 4

完成时间为 4 小时
7 个视频 (总计 88 分钟), 1 个阅读材料, 2 个测验
7 个视频
Lesson 4.2: Statistical Language Model17分钟
Lesson 4.3: Query Likelihood Retrieval Function12分钟
Lesson 4.4: Statistical Language Model - Part 112分钟
Lesson 4.5: Statistical Language Model - Part 29分钟
Lesson 4.6: Smoothing Methods - Part 19分钟
Lesson 4.7: Smoothing Methods - Part 213分钟
1 个阅读材料
Week 4 Overview10分钟
2 个练习
Week 4 Practice Quiz1小时
Week 4 Quiz1小时

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关于 数据挖掘 专项课程

The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp. Courses 2 - 5 of this Specialization form the lecture component of courses in the online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization....
数据挖掘

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