剑桥大学机器学期与机器智能硕士专业 项目网站

Machine Learning and Machine Intelligence

英国 公立

项目背景

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更新时间:2024-01-15

专业排名6

大学剑桥大学

开学时间10月

课程学制1年

学费41694.00/GBP

专业介绍

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.

推荐顾问

世界排名

2020年

6

2019年

5

2018年

5

2017年

5

语言要求

类型
雅思
托福
PTE
Listen
7
25
--
Speak
7
25
--
Read
6.5
25
--
Write
7
25
--
总分
7
100
--

学术要求

领域:well-developed technical skills在工程/科技,数学及computing方面

课程设置

Introduction to Machine Learning:机器学习简介 Speech Recognition:语音识别 Computer Vision:计算机视觉 Deep Learning & Structured Data:深度学习和结构化数据 Probabilistic Machine Learning:概率机器学习 Advanced Speech Recognition:高级语音识别 Neural Machine Translation and Dialogue Systems:神经机器翻译和对话系统 Spoken Language Generation and Processing:口语生成和处理 Advanced Machine Learning:高级机器学习 Reinforcement Learning and Decision Making:强化学习与决策 Designing Intelligent Interactive Systems:设计智能交互系统 Natural Language Processing:自然语言处理 Practical Optimisation:实用优化 Advanced Robotics:高级机器人技术 Introduction to Robotics:机器人学简介 Advanced Machine Learning:高级机器学习 Machine Learning and the Physical World:机器学习与物理世界 Software Engineering and Design:软件工程与设计

申请案例

学生姓名:周**

毕业学校:北京航空航天大学

本科专业:机械和航空

基本背景: 四年级/GPA91.7/100/雅思7.5

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