首页机械学
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机器学习简介

Introduction to Machine Learning
课程网址: http://videolectures.net/cidu2011_banerjee_intro_to_ml/  
主讲教师: Arindam Banerjee
开课单位: 明尼苏达大学
开课时间: 2012-06-27
课程语种: 英语
中文简介:
在过去的几十年中,机器学习领域已经显著成熟,从统计学、优化和人工智能等多个学科中汲取了灵感。机器学习的应用在从互联网应用到科学问题的各种领域都取得了重要进展。本文将对机器学习进行一个温和的教程介绍,并对四个模型和方法系列进行全面概述:预测模型、图形模型、在线学习和探索性数据分析。会谈将讨论每个家庭中一些关键方法背后的主要想法,以及它们适用的问题。将讨论各种各样的应用,包括文本分析、推荐系统、气候科学和金融。
课程简介: Over the past few decades, the field of Machine Learning has matured significantly, drawing ideas from several disciplines including Statistics, Optimization, and Artificial Intelligence. Applications of Machine Learning have led to important advances in a wide variety of domains ranging from Internet applications to scientific problems. This talk will give a gentle tutorial introduction to Machine Learning with broad overview on four families of models and methods: predictive models, graphical models, online learning, and exploratory data analysis. The talk will discuss the main idea behind some of key approaches in each family and the problems where they are applicable. A wide variety of applications including text analysis, recommendation systems, climate sciences, and finance will be discussed.
关 键 词: 机械学; 预测模型; 图形模型; 在线学习; 探索性数据分析
课程来源: 视频讲座网
最后编审: 2019-12-21:lxf
阅读次数: 47