About this Course
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Flexible deadlines

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Beginner Level

Approx. 17 hours to complete

Chinese (Traditional)

Subtitles: Chinese (Traditional)

Skills you will gain

Decision StumpPerceptronMachine LearningVc Dimension

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 17 hours to complete

Chinese (Traditional)

Subtitles: Chinese (Traditional)

Syllabus - What you will learn from this course

Week
1
2 hours to complete

第一講:The Learning Problem

5 videos (Total 70 min), 5 readings
5 videos
What is Machine Learning18m
Applications of Machine Learning18m
Components of Machine Learning11m
Machine Learning and Other Fields10m
5 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
homework 010m
Week
2
1 hour to complete

第二講:Learning to Answer Yes/No

4 videos (Total 61 min)
4 videos
Perceptron Learning Algorithm (PLA)19m
Guarantee of PLA12m
Non-Separable Data12m
Week
3
1 hour to complete

第三講:Types of Learning

4 videos (Total 61 min)
4 videos
Learning with Different Data Label18m
Learning with Different Protocol11m
Learning with Different Input Space14m
Week
4
2 hours to complete

第四講:Feasibility of Learning

4 videos (Total 60 min), 1 quiz
4 videos
Probability to the Rescue11m
Connection to Learning16m
Connection to Real Learning18m
1 practice exercise
作業一40m
4.9
120 ReviewsChevron Right

29%

started a new career after completing these courses

43%

got a tangible career benefit from this course

36%

got a pay increase or promotion

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

By LLJun 24th 2018

This course give a theoretical analysis of machine learning,though there is not much introduction of algorithm in detail,but this helped me open a new door of machine learning.

By TTMar 4th 2018

I am very grateful to the teacher for bring me to the world of Machine Learing. I am new in the field. I will try my best to learn the basic knowledge of ML.

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.