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劍橋大學(xué)-機器學(xué)習(xí)與機器智能碩士

MPhil in Machine Learning and Machine Intelligence(碩士)

專業(yè)概況

在這里學(xué)什么?

This is an 11 month MPhil programme, taught from within our Information Engineering Division, with a unique, joint emphasis on both machine learning and machine intelligence, including speech and language technology and computer vision. The course aims to teach the state of the art in machine learning and machine intelligence; to give students the skills and expertise necessary to take leading roles in industry; and to equip students with the research skills necessary for doctoral study.

Learning Outcomes

By the end of the programme, students will have acquired:

  • knowledge of the fundamental techniques in machine learning and how to apply these techniques to a range of practical problems;
  • a deep understanding of fundamental problems in machine intelligence, including speech and language processing and computer vision, and the technologies that form the current state of the art;
  • a comprehensive understanding of techniques, and a thorough knowledge of the literature, applicable to the area of their chosen research topic;
  • presentation skills through presenting their research in progress;
  • the methodological and other technical skills necessary for research in their chosen area;
  • the ability to critically assess the technical literature in machine learning and machine intelligence and related topics;
  • directly marketable skills in computing, machine intelligence, machine learning, and the data sciences;
  • collaborative skills through working with other students on the practical exercises and with PhD students and research assistants while carrying out their research project;
  • experience in large-scale computing for machine learning and machine intelligence; and
  • an understanding of how to define and conduct a research project.

所屬院系

進入哪個院系學(xué)習(xí)?

Department of Engineering

中國學(xué)生入學(xué)要求

為來自中國的學(xué)生設(shè)計

grade of between 85% and 90%. If the academic requirement of the course is a first then they need to have an overall grade of between 90% and 95%.

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驗證碼

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課程信息

學(xué)制:全日制(11 個月)

學(xué)費:

開學(xué)時間:2022九月27日

申請截止日期:

留學(xué)地點:University of CambridgeThe Old Schools,Trinity Lane,Cambridge,Cambridgeshire,CB2 1TN, England

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