Introduction to Machine Learning (COMP90049) // Further information

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Further information

  • Texts

    Prescribed texts

    There are no specifically prescribed or recommended texts for this subject.

  • Subject notes

    LEARNING AND TEACHING METHODS

    This course is taught over 12 weeks, each week with two one hour formal lectures and a one hour workshop. During the workshops the students are given problems to solve to reinforce the previous week’s lecturing material. The problem solving nature of the workshops is geared for the students to learn and understand the concepts of the subject material.


    INDICATIVE KEY LEARNING RESOURCES

    Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schutze (2008), Information Retrieval, Cambridge University Press. Freely available at informationretrieval.org

    Pang-Ning Tan, Michael Steinbach and Vipin Kumar (2005) Introduction to Data Mining, Addison-Wesley.


    CAREERS / INDUSTRY LINKS

    This subject is relevant to many fields including Engineering, Commerce, Government Organisations, Research Institutes and Institutions in Medicine where data analysis can play a significant improvement in delivering services or improving profits.

  • Related Handbook entries

    This subject contributes to the following:

    TypeName
    CourseDoctor of Philosophy - Engineering
    CoursePh.D.- Engineering
    CourseMaster of Science (Computer Science)
    CourseMaster of Data Science
    CourseMaster of Commerce (Decision, Risk and Financial Sciences)
    CourseMaster of Philosophy - Engineering
    Specialisation (formal)Computing
    Specialisation (formal)Software with Business
    MajorComputer Science
    Specialisation (formal)Distributed Computing
    Specialisation (formal)Spatial
    Specialisation (formal)Software
    Specialisation (formal)Mechatronics
  • Available through the Community Access Program

    About the Community Access Program (CAP)

    This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.

    Please note Single Subject Studies via Community Access Program is not available to student visa holders or applicants

    Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.

    Additional information for this subject

    Subject coordinator approval required.

  • Available to Study Abroad and/or Study Exchange Students

    This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.

Last updated: 3 November 2022