About this Course

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Learner Career Outcomes

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started a new career after completing these courses

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got a tangible career benefit from this course

36%

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Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 10 hours to complete
Chinese (Traditional)
Subtitles: Chinese (Traditional)

Skills you will gain

Decision StumpPerceptronMachine LearningVc Dimension

Learner Career Outcomes

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
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 10 hours to complete
Chinese (Traditional)
Subtitles: Chinese (Traditional)

Offered by

National Taiwan University logo

National Taiwan University

Syllabus - What you will learn from this course

Content RatingThumbs Up97%(2,015 ratings)Info
Week
1

Week 1

2 hours to complete

第一講:The Learning Problem

2 hours to complete
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

Week 2

1 hour to complete

第二講:Learning to Answer Yes/No

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

Week 3

1 hour to complete

第三講:Types of Learning

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

Week 4

2 hours to complete

第四講:Feasibility of Learning

2 hours to complete
4 videos (Total 60 min)
4 videos
Probability to the Rescue11m
Connection to Learning16m
Connection to Real Learning18m
1 practice exercise
作業一40m

Reviews

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Frequently Asked Questions

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
  • 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.

  • You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.

  • This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

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