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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機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations
Instructor: 林軒田
49,663 already enrolled
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Gain insight into a topic and learn the fundamentals.
937 reviews
Beginner level
No prior experience required
Flexible schedule
1 week at 10 hours a week
Learn at your own pace
97%
Most learners liked this course
Skills you'll gain
- Probability & Statistics
- Probability
- Theoretical Computer Science
- Statistical Methods
- Supervised Learning
- Machine Learning Methods
- Artificial Intelligence and Machine Learning (AI/ML)
- Mathematical Modeling
- Machine Learning
- Statistical Machine Learning
- Model Evaluation
- Mathematical Theory & Analysis
- Machine Learning Algorithms
- Model Training
- Algorithms
Tools you'll learn
Details to know
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Assessments
2 assignments
Taught in Chinese (Traditional)
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There are 8 modules in this course
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Showing 3 of 937
IW
Reviewed on Nov 18, 2017
Thank Prof. Lin and coursera for providing me with the platform and courses to make me better. Last but not least, the quiz is quite difficult...
EC
Reviewed on Dec 1, 2017
Base on very fundamental concepts of the Machine Learning.
ZL
Reviewed on Aug 26, 2020
林老师这部分课程内容偏理论，对数理基础有一定的要求。每次作业题需要认真思考，作业后面的编程部分也能锻炼实践能力，进一步巩固所学习的理论知识。总体来说质量不错，不过希望老师以后能以后对课件里面的问题进行总结的时候可以不用太story-like，或者说更简练一点，我认为这样可以有助于学习暂停视频并好好理解。
