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# 伦敦大学学院UCL这4个超酷的机器学习专业

· Supervised Learning

· Statistical Models and Data Analysis

· Project

· Advanced Deep Learning and Reinforcement Learning

· Advanced Topics in Machine Learning

· Applied Machine Learning

· Approximate Inference and Learning in Probabilistic Models

· Graphical Models

· Information Retrieval and Data Mining

· Introduction to Deep Learning

· Inverse Problems in Imaging

· Machine Vision

· Probabilistic and Unsupervised Learning

· Statistical Natural Language Processing

· Selected Topics in Statistics

2.1学位，计算机科学、统计、数学、电气工程或物理科学等背景；具备本科数学、统计、线性代数、多变量微积分课程背景。

· Applied Machine Learning

· Introduction to Machine Learning

· Introduction to Statistical Science

· Project

· Advanced Deep Learning and Reinforcement Learning

· Information Retrieval and Data Mining

· Introduction to Deep Learning

· Machine Vision

· Multi-agent Artificial Intelligence

· Statistical Natural Language Processing

· Birkbeck College： Cloud Computing

2.1学位，计算机科学、数学、工程、物理、统计等定量学科背景。

UCL机器学习专业

· Supervised Learning

· Advanced Deep Learning and Reinforcement Learning

· Advanced Topics in Machine Learning

· Affective Computing and Human-Robot Interaction

· Applied Machine Learning

· Approximate Inference and Learning in Probabilistic Models

· Bioinformatics

· Graphical Models

· Information Retrieval and Data Mining

· Introduction to Deep Learning

· Machine Vision

· Probabilistic and Unsupervised Learning

· Statistical Natural Language Processin

2.1学位，计算机、数学、电气工程或同等相关专业背景。有线性代数、微积分课程背景。

2.1学位，相关专业背景，电子电气工程、计算机等都可以申请，学生需要有基础的编程背景(C， C++， Python， Java)，也要有代数、分析、概率或统计学等数学课程背景。

• 发表于:
• 原文链接https://kuaibao.qq.com/s/20200723A0F2CZ00?refer=cp_1026
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• 如有侵权，请联系 cloudcommunity@tencent.com 删除。

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