中Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. Our two sister courses teach the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. This first course of the two would focus more on mathematical tools, and the other course would focus more on algorithmic tools. [機器學習旨在讓電腦能由資料中累積的經驗來自我進步。我們的兩項姊妹課程將介紹各領域中的機器學習使用者都應該知道的基礎演算法、理論及實務工具。本課程將較為著重數學類的工具，而另一課程將較為著重方法類的工具。]
機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations
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作业
2 项作业
授课语言：中文（繁体）
了解顶级公司的员工如何掌握热门技能
该课程共有8个模块
what machine learning is and its connection to applications and other fields
涵盖的内容
5个视频5篇阅读材料
your first learning algorithm (and the world's first!) that "draws the line" between yes and no by adaptively searching for a good line based on data
涵盖的内容
4个视频
learning comes with many possibilities in different applications, with our focus being binary classification or regression from a batch of supervised data with concrete features
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4个视频
learning can be "probably approximately correct" when given enough statistical data and finite number of hypotheses
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4个视频1个作业
what we pay in choosing hypotheses during training: the growth function for representing effective number of choices
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4个视频
test error can approximate training error if there is enough data and growth function does not grow too fast
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4个视频
learning happens if there is finite model complexity (called VC dimension), enough data, and low training error
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4个视频
learning can still happen within a noisy environment and different error measures
涵盖的内容
4个视频1个作业
位教师
授课教师评分
4.8 (71个评价)
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人们为什么选择 Coursera 来帮助自己实现职业发展
Felipe M.
自 2018开始学习的学生
''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情，我就可以学习。'
Jennifer J.
自 2020开始学习的学生
''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'
Larry W.
自 2021开始学习的学生
''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'
Chaitanya A.
''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'
学生评论
4.9
937 条评论
- 5 stars
92.42%
- 4 stars
6.18%
- 3 stars
0.64%
- 2 stars
0.42%
- 1 star
0.32%
显示 3/937 个
MC
5
已于 Feb 18, 2018审阅
The speaker explains the ML in very clear and easier to understand way. I believe everyone can understand if he/she follow the course.
LL
5
已于 Mar 24, 2018审阅
it gives me a different view of ml,it's a really rigorous course. Thanks
FF
5
已于 Apr 19, 2018审阅
Best course for the learners with some concepts of machine learning
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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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