课程信息

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初级
完成时间大约为22 小时
英语(English)
字幕:英语(English)

您将学到的内容有

  • Y​ou will understand the basic of how modern machine learning technologies work

  • Y​ou will be able to explain and predict how data affects the results of machine learning

  • Y​ou will be able to use a non-programming based platform train a machine learning module using a dataset

  • Y​ou will be able to form an informed opinion on the benefits and dangers of machine learning to society

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。
可灵活调整截止日期
根据您的日程表重置截止日期。
初级
完成时间大约为22 小时
英语(English)
字幕:英语(English)

提供方

伦敦大学 徽标

伦敦大学

教学大纲 - 您将从这门课程中学到什么

内容评分Thumbs Up96%(3,750 个评分)Info
1

1

完成时间为 6 小时

Machine learning

完成时间为 6 小时
6 个视频 (总计 27 分钟), 2 个阅读材料, 3 个测验
6 个视频
Artificial intelligence4分钟
Machine learning6分钟
Machine learning algorithms6分钟
Interview with Machine Learning Experts7分钟
Summary1分钟
2 个阅读材料
Welcome to Machine Learning for All10分钟
Machine learning exercise15分钟
3 个练习
Computers that see20分钟
Alpha Go30分钟
Machine Learning Summative Quiz1小时
2

2

完成时间为 3 小时

Data Features

完成时间为 3 小时
7 个视频 (总计 36 分钟)
7 个视频
The bit3分钟
Bytes and numbers4分钟
Other types of data6分钟
Introduction to Data Features41
Data features3分钟
Neural networks6分钟
Interview: Data Features11分钟
2 个练习
Bag of Words30分钟
Data Features Summative Quiz1小时
3

3

完成时间为 6 小时

Machine Learning in Practice

完成时间为 6 小时
6 个视频 (总计 37 分钟), 3 个阅读材料, 1 个测验
6 个视频
Testing2分钟
Problems with machine learning3分钟
Applications of machine learning3分钟
Dangers of machine learning8分钟
Interview: Benefits and Dangers of Machine Learning18分钟
3 个阅读材料
Trying different datasets15分钟
Evaluating the four datasets15分钟
Further Reading10分钟
1 个练习
Machine Learning in Practice Summative Quiz1小时
4

4

完成时间为 7 小时

Your Machine Learning Project

完成时间为 7 小时
4 个视频 (总计 16 分钟), 2 个阅读材料, 2 个测验
4 个视频
Collecting a dataset3分钟
Interview: Advice for your first Machine Learning Project10分钟
Summary1分钟
2 个阅读材料
Collecting a dataset15分钟
What's next?10分钟
1 个练习
Preparing for your machine learning project15分钟

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