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- Level Foundation
- المدة
- الطبع بواسطة National Taiwan University
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Offered by
عن
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。]الوحدات
The Learning Problem
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5
Videos
5
Videos
- Course Introduction
- What is Machine Learning
- Applications of Machine Learning
- Components of Machine Learning
- Machine Learning and Other Fields
Course Information
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5
Readings
5
Readings
- NTU MOOC 課程問題詢問與回報機制
- 課程大綱
- 課程形式及評分標準
- 延伸閱讀
- homework 0
Learning to Answer Yes/No
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4
Videos
4
Videos
- Perceptron Hypothesis Set
- Perceptron Learning Algorithm (PLA)
- Guarantee of PLA
- Non-Separable Data
Types of Learning
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4
Videos
4
Videos
- Learning with Different Output Space
- Learning with Different Data Label
- Learning with Different Protocol
- Learning with Different Input Space
Feasibility of Learning
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4
Videos
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1
Assignment
1
Assignment
- 作業一
4
Videos
- Learning is Impossible?
- Probability to the Rescue
- Connection to Learning
- Connection to Real Learning
Training versus Testing
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4
Videos
4
Videos
- Recap and Preview
- Effective Number of Lines
- Effective Number of Hypotheses
- Break Point
Theory of Generalization
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4
Videos
4
Videos
- Restriction of Break Point
- Bounding Function: Basic Cases
- Bounding Function: Inductive Cases
- A Pictorial Proof
The VC Dimension
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4
Videos
4
Videos
- Definition of VC Dimension
- VC Dimension of Perceptrons
- Physical Intuition of VC Dimension
- Interpreting VC Dimension
Noise and Error
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4
Videos
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1
Assignment
1
Assignment
- 作業二
4
Videos
- Noise and Probabilistic Target
- Error Measure
- Algorithmic Error Measure
- Weighted Classification
Auto Summary
"Machine Learning Foundations" dives into the mathematical tools essential for mastering machine learning. Designed for those entering the data science and AI domain, this foundational course by Coursera offers in-depth understanding crucial for any machine learning user. Suitable for beginners, it is available through Starter and Professional subscriptions.
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