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 second course of the two would focus more on algorithmic tools, and the other course would focus more on mathematical 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。本課程將較為著重方法類的工具，而另一課程將較為著重數學類的工具。]
機器學習基石下 (Machine Learning Foundations)---Algorithmic 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
weight vector for linear hypotheses and squared error instantly calculated by analytic solution
涵盖的内容
4个视频4篇阅读材料
gradient descent on cross-entropy error to get good logistic hypothesis
涵盖的内容
4个视频
binary classification via (logistic) regression; multiclass classification via OVA/OVO decomposition
涵盖的内容
4个视频
nonlinear model via nonlinear feature transform+linear model with price of model complexity
涵盖的内容
4个视频1个作业
overfitting happens with excessive power, stochastic/deterministic noise and limited data
涵盖的内容
4个视频
minimize augmented error, where the added regularizer effectively limits model complexity
涵盖的内容
4个视频
(crossly) reserve validation data to simulate testing procedure for model selection
涵盖的内容
4个视频
be aware of model complexity, data goodness and your professionalism
涵盖的内容
4个视频1个作业
位教师
授课教师评分
4.9 (24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
331 条评论
- 5 stars
93.65%
- 4 stars
5.13%
- 3 stars
0.60%
- 2 stars
0.30%
- 1 star
0.30%
显示 3/331 个
CL
5
已于 Apr 17, 2018审阅
林老師的課不僅聽起來比較清晰易懂，並且深度足夠（比Andrew Ng的課而言深度要大不少），值得多次聽講。作業質量也比較高，能夠有很好的鍛煉效果。期待後續的技法課程能夠在coursera上面公佈。
CC
5
已于 Oct 7, 2021审阅
Really great theoretical machine learning course!
KJ
5
已于 Oct 26, 2021审阅
The course is moderately difficult and challenging
常见问题
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.
更多问题
提供助学金，