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机器学习概论

Introduction to Machine Learning
课程网址: http://videolectures.net/aibootcamp2011_quinn_iml/  
主讲教师: John Quinn
开课单位: 麦克雷雷大学
开课时间: 2011-03-31
课程语种: 英语
中文简介:
本文从实践的角度概述了机器学习。从我们可能想要解决的问题(在视觉、信号处理和地理空间推理中)和我们必须做出的假设开始,它涵盖了许多不同的有监督和无监督的学习技术。讨论的最后是如何评估一个系统,以及何时我们应该相信一个模型是正确的。
课程简介: This talk gives an overview of machine learning from a practical perspective. Starting with examples of problems we might want to solve (in vision, signal processing, and geospatial inference), and the assumptions we have to make in order to get anywhere, it then covers a number of different supervised and unsupervised learning techniques. The talk concludes with ideas on how to evaluate a system, and when we should believe that a model is "right".
关 键 词: 机械学习; 信号处理; 视觉; 地理空间推理
课程来源: 视频讲座网
最后编审: 2020-03-23:chenxin
阅读次数: 64