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

林軒田

Instructor: 林軒田

47,656 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.9

(917 reviews)

Beginner level
No prior experience required
Flexible schedule
Approx. 9 hours
Learn at your own pace
96%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.9

(917 reviews)

Beginner level
No prior experience required
Flexible schedule
Approx. 9 hours
Learn at your own pace
96%
Most learners liked this course

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

2 quizzes

Taught in Chinese (Traditional)

See how employees at top companies are mastering in-demand skills

Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

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

Instructor ratings
4.9 (65 ratings)
林軒田
National Taiwan University
3 Courses54,530 learners

Offered by

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 917

4.9

917 reviews

  • 5 stars

    92.60%

  • 4 stars

    5.98%

  • 3 stars

    0.65%

  • 2 stars

    0.43%

  • 1 star

    0.32%

FF
5

Reviewed on Apr 19, 2018

CC
5

Reviewed on Oct 24, 2018

TT
5

Reviewed on Mar 3, 2018

New to Machine Learning? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions