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。]
ofrecido por
機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations
Universidad Nacional de TaiwánAcerca de este Curso
19.751 vistas recientes
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel principiante
Aprox. 10 horas para completar
Chino (tradicional)
Subtítulos: Chino (tradicional)
Habilidades que obtendrás
- Decision Stump
- Perceptron
- Machine Learning
- Vc Dimension
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel principiante
Aprox. 10 horas para completar
Chino (tradicional)
Subtítulos: Chino (tradicional)
ofrecido por
Universidad Nacional de Taiwán
We firmly believe that open access to learning is a powerful socioeconomic equalizer. NTU is especially delighted to join other world-class universities on Coursera and to offer quality university courses to the Chinese-speaking population. We hope to transform the rich rewards of learning from a limited commodity to an experience available to all.
Programa - Qué aprenderás en este curso
2 horas para completar
第一講：The Learning Problem
what machine learning is and its connection to applications and other fields
2 horas para completar
5 videos (Total 70 minutos), 5 lecturas
1 hora para completar
第二講：Learning to Answer Yes/No
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
1 hora para completar
4 videos (Total 61 minutos)
1 hora para completar
第三講：Types of Learning
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
1 hora para completar
4 videos (Total 61 minutos)
1 hora para completar
第四講：Feasibility of Learning
learning can be "probably approximately correct" when given enough statistical data and finite number of hypotheses
1 hora para completar
4 videos (Total 60 minutos)
Reseñas
- 5 stars92,58 %
- 4 stars6,15 %
- 3 stars0,57 %
- 2 stars0,34 %
- 1 star0,34 %
Principales reseñas sobre 機器學習基石上 (MACHINE LEARNING FOUNDATIONS)---MATHEMATICAL FOUNDATIONS
por CC5 de oct. de 2021
Really great theoretical ML course! And it is really hard lol~
por GG19 de oct. de 2017
Lin is a very funny teacher.The course is really valuable.i will recap this course many times.thanks teacher lin again.thks
por HL1 de dic. de 2017
This is a very nice courses. But I think the test is super hard for some students.
por CY13 de ene. de 2021
It is still difficult for a novice especially last 4 lectures.
Preguntas Frecuentes
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