NTU Course
Overview

Machine Learning

Offered in 113-1Updated

  • Serial Number

    26214

  • Course Number

    CSIE5043

  • Course Identifier

    922 U0960

  • No Class

  • 3 Credits

  • Elective

    DEPARTMENT OF COMPUTER SCIENCE & INFOR / Taiwan Artificial Intelligence College Alliance / Intelligent Medicine Program / Data Science Degree Program / GRADUATE INSTITUTE OF NETWORKING AND MULTIMEDIA / GRADUATE INSTITUTE OF COMPUTER SCIENCE & INFORMATION ENGINEERING

      Elective

    • DEPARTMENT OF COMPUTER SCIENCE & INFOR

    • Taiwan Artificial Intelligence College Alliance

    • Intelligent Medicine Program

    • Data Science Degree Program

    • GRADUATE INSTITUTE OF NETWORKING AND MULTIMEDIA

    • GRADUATE INSTITUTE OF COMPUTER SCIENCE & INFORMATION ENGINEERING

  • HSUAN-TIEN LIN
  • Mon 6, 7, 8

  • Please contact the department office for more information

  • Type 3

  • 450 Student Quota

    NTU 450

  • Specialization Program

    Machine Learning and Artificial Intelligence

  • English
  • NTU COOL
  • Core Capabilities and Curriculum Planning
  • Notes

    、、、、 The course is conducted in English。Classroom:CSIE R103 with broadcast rooms R104, R105 and R107.
     The course is conducted in English。

  • Limits on Course Adding / Dropping

    • Restriction: within this department (including students taking minor and dual degree program)

  • NTU Enrollment Status

    Enrolled
    0/450
    Other Depts
    0/0
    Remaining
    0
    Registered
    0
  • Course Description
    Machine learning allows computational systems to adaptively improve their performance with experience accumulated from the data observed. This course introduces the basics of learning theories, the design and analysis of learning algorithms, and some applications of machine learning.
  • Course Objective
    The course is designed to prepare junior graduate students with a solid background of machine learning and allow them to use machine learning techniques appropriately in their future research or industry projects.
  • Course Requirement
    Computer Programming, Calculus, Probability, Linear Algebra
  • Expected weekly study hours before and/or after class
  • Office Hour
  • Designated Reading
  • References
  • Grading
    1. NTU has not set an upper limit on the percentage of A+ grades.
    2. NTU uses a letter grade system for assessment. The grade percentage ranges and the single-subject grade conversion table in the NATIONAL TAIWAN UNIVERSITY Regulations Governing Academic Grading are for reference only. Instructors may adjust the percentage ranges according to the grade definitions. For more information, see the Assessment for Learning Section。
  • Adjustment methods for students
  • Make-up Class Information
  • Course Schedule