




版权说明:本文档由用户提供并上传,收益归属内容提供方,若内容存在侵权,请进行举报或认领
文档简介
1、 IntroductionWelcomeMachine Learning Machine Learning-Grew out of work in AI-New capability for computersExamples:-Database miningLarge datasets from growth of automation/web.E.g., Web click data, medical records, biology, engineering-Applications cant program by hand.E.g., Autonomous helicopter, ha
2、ndwriting recognition, most of Natural Language Processing (NLP, Computer Vision.-New capability for computersExamples:-Database miningLarge datasets from growth of automation/web.E.g., Web click data, medical records, biology, engineering-Applications cant program by hand.E.g., Autonomous helicopte
3、r, handwriting recognition, most of Natural Language Processing (NLP, Computer Vision.-New capability for computersExamples:-Database miningLarge datasets from growth of automation/web.E.g., Web click data, medical records, biology, engineering-Applications cant program by hand.E.g., Autonomous heli
4、copter, handwriting recognition, most of Natural Language Processing (NLP, Computer Vision.-New capability for computersExamples:-Database miningLarge datasets from growth of automation/web.E.g., Web click data, medical records, biology, engineering-Applications cant program by hand.E.g., Autonomous
5、 helicopter, handwriting recognition, most of Natural Language Processing (NLP, Computer Vision. -Self-customizing programsE.g., Amazon, Netflix product recommendations-New capability for computersExamples:-Database miningLarge datasets from growth of automation/web.E.g., Web click data, medical rec
6、ords, biology, engineering-Applications cant program by hand.E.g., Autonomous helicopter, handwriting recognition, most of Natural Language Processing (NLP, Computer Vision. -Self-customizing programsE.g., Amazon, Netflix product recommendations IntroductionWhat is machinelearningMachine LearningArt
7、hur Samuel (1959. Machine Learning: Field of study that gives computers the ability to learn without being explicitly programmed.Arthur Samuel (1959. Machine Learning: Field of study that gives computers the ability to learn without being explicitly programmed. Machine Learning definitionArthur Samu
8、el (1959. Machine Learning: Field of study that gives computers the ability to learn without being explicitly programmed.Tom Mitchell (1998 Well-posed Learning Problem: A computer program is said to learn from experience E with respect to some task T and some performance measure P, if itsperformance
9、 on T, as measured by P, improves with experience E.Machine Learning definition Classifying emails as spam or not spam. The number (or fraction of emails correctly classified as spam/not spam. None of the abovethis is not a machine learning problem.Suppose your email program watches which emails you
10、 do or do not mark as spam, and based on that learns how to better filter spam. What is the task T in this setting?“A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E.
11、” Classifying emails as spam or not spam. Suppose your email program watches which emails you do or do not mark as spam, and based on that learns how to better filter spam. What is the task T in this setting?“A computer program is said to learn from experience E with respect to some task T and some
12、performance measure P, if its performance on T, as measured by P, improves with experience E.” Classifying emails as spam or not spam. The number (or fraction of emails correctly classified as spam/not spam. None of the abovethis is not a machine learning problem.Suppose your email program watches w
13、hich emails you do or do not mark as spam, and based on that learns how to better filter spam. What is the task T in this setting?“A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves wit
14、h experience E.”Machine learning algorithms:-Supervised learning-Unsupervised learningAlso talk about: Practical advice for applying learning algorithms. IntroductionSupervisedLearningMachine Learning1002003004000500 Housing price prediction.Price ($ in 1000sSize in feet2Predict continuousBreast can
15、cer (malignant, benign Discrete valued output (0 or 1Malignant? 1(Y0(NAge -Clump Thickness-Uniformity of Cell Shape Treat both as classification problems.Treat problem 1 as a classification problem, problem 2 as a regression problem. Treat problem 1 as a regression problem, problem 2 as a classifica
16、tion problem. Treat both as regression problems. Youre running a company, and you want to develop learning algorithms to address each of two problems.Problem 1: You have a large inventory of identical items. You want to predict how many of these items will sell over the next 3 months.Problem 2: Youd
17、 like software to examine individual customer accounts, and for each account decide if it has been hacked/compromised.Andrew Ng Andrew NgIntroduction UnsupervisedLearning Machine LearningAndrew Ngx 1x 2Supervised LearningAndrew NgUnsupervised Learningx 1x 2 Andrew Ng G e n e s Individuals G e n e s
18、Individuals Organize computing clustersImage credit: NASA/JPL-Caltech/E. Churchwell(Univ. of Wisconsin, MadisonCocktail party problem Microphone #1Microphone #2Speaker #1Speaker #2Microphone #1: Microphone #2: Microphone #1: Microphone #2: Audio clips courtesy of Te-Won Lee. Output #1: Output #2: Output #1: Output #2: Andrew Ng Cocktail party problem algorithm W,s,v = svd(repmat(sum(x.*x,1,size(x,1,1.*x*
温馨提示
- 1. 本站所有资源如无特殊说明,都需要本地电脑安装OFFICE2007和PDF阅读器。图纸软件为CAD,CAXA,PROE,UG,SolidWorks等.压缩文件请下载最新的WinRAR软件解压。
- 2. 本站的文档不包含任何第三方提供的附件图纸等,如果需要附件,请联系上传者。文件的所有权益归上传用户所有。
- 3. 本站RAR压缩包中若带图纸,网页内容里面会有图纸预览,若没有图纸预览就没有图纸。
- 4. 未经权益所有人同意不得将文件中的内容挪作商业或盈利用途。
- 5. 人人文库网仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对用户上传分享的文档内容本身不做任何修改或编辑,并不能对任何下载内容负责。
- 6. 下载文件中如有侵权或不适当内容,请与我们联系,我们立即纠正。
- 7. 本站不保证下载资源的准确性、安全性和完整性, 同时也不承担用户因使用这些下载资源对自己和他人造成任何形式的伤害或损失。
最新文档
- 部编版二下语文听力提升计划他
- 2025美容院年度客户关怀计划
- 九年级数学教师教学研讨计划
- 矿山复绿工程安全文明施工措施费提取和使用计划
- 教师在线教学工具操作能力提升计划
- 八年级语文拓展阅读教学计划
- 学生环保志愿者社团计划
- 2023-2029年中国糖精行业市场发展现状及投资方向研究报告
- 2025年中国向心球轴承行业发展潜力预测及投资策略研究报告
- 2020-2025年中国烤肉器行业市场调查研究及未来发展趋势报告
- 电能质量概念课件
- 涉爆粉尘目录
- 木兰诗教学设计一等奖5篇
- 新译林版初中八年级上册英语Unit 1单元测试卷(含听力材料及答案解析)
- 2023-浙江信息技术-学考总复习-知识点总结
- 集中控制中心建设(指挥中心建设)
- 施工导流围堰工程实例讲义课件(117页配图丰富)
- 排水系统PLC控制及组态设计说明书
- 自考西方政治制度复习重点笔记资料整理(共30页)
- 清溪1井溢流事件压封井抢险分析
- 大型活动报备申请表(样本)
评论
0/150
提交评论