National Taiwan University
機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations
National Taiwan University

機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

Taught in Chinese (Traditional)

47,149 already enrolled


Gain insight into a topic and learn the fundamentals


Instructor: 林軒田


(915 reviews)

Beginner level
No prior experience required
9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace

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There are 8 modules in this course

what machine learning is and its connection to applications and other fields

What's included

5 videos5 readings

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

What's included

4 videos

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

What's included

4 videos

learning can be "probably approximately correct" when given enough statistical data and finite number of hypotheses

What's included

4 videos1 quiz

what we pay in choosing hypotheses during training: the growth function for representing effective number of choices

What's included

4 videos

test error can approximate training error if there is enough data and growth function does not grow too fast

What's included

4 videos

learning happens if there is finite model complexity (called VC dimension), enough data, and low training error

What's included

4 videos

learning can still happen within a noisy environment and different error measures

What's included

4 videos1 quiz


Instructor ratings
4.9 (64 ratings)
National Taiwan University
3 Courses53,930 learners

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