About this Course
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Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 12 hours to complete

Chinese (Traditional)

Subtitles: Chinese (Traditional)

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 12 hours to complete

Chinese (Traditional)

Subtitles: Chinese (Traditional)

Syllabus - What you will learn from this course

Week
1
2 hours to complete

第九講: Linear Regression

4 videos (Total 62 min), 4 readings
4 videos
Linear Regression for Binary Classification11m
4 readings
NTU MOOC 課程問題詢問與回報機制1m
課程大綱10m
課程形式及評分標準10m
延伸閱讀10m
Week
2
1 hour to complete

第十講: Logistic Regression

4 videos (Total 65 min)
Week
3
1 hour to complete

第十一講: Linear Models for Classification

4 videos (Total 59 min)
Week
4
2 hours to complete

第十二講: Nonlinear Transformation

4 videos (Total 59 min), 1 quiz
4 videos
Structured Hypothesis Sets9m
1 practice exercise
作業三40m
4.9
40 ReviewsChevron Right

17%

got a tangible career benefit from this course

25%

got a pay increase or promotion

Top reviews from 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

By HLDec 5th 2017

What an amazing course! I hope professor can give new courses in the future and cover more practical things with so hard theoretical things.

By JJOct 3rd 2018

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Instructor

Avatar

林軒田

教授 (Professor)
資訊工程學系 (Department of Computer Science and Information Engineering)

About National Taiwan University

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. More courses information, the official Facebook Page: https://www.facebook.com/ntumooc2017/...

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.