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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機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations
Instructor: 林軒田
17,331 already enrolled
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Gain insight into a topic and learn the fundamentals.
331 reviews
Intermediate level
Some related experience required
9 hours to complete
Flexible schedule
Learn at your own pace
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2 assignments
Taught in Chinese (Traditional)
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There are 8 modules in this course
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(24 ratings)Offered by
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Fractal Analytics
Coursera
University of Washington
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Showing 3 of 331
CL
Reviewed on Apr 17, 2018
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。
KJ
Reviewed on Oct 26, 2021
The course is moderately difficult and challenging
CC
Reviewed on Oct 7, 2021
Really great theoretical machine learning course!
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