A number of successful applications have been reported in areas such as credit rating, fraud detection, database marketing, customer relationship management, and stock market investments. Lecture slides will be posted on this site see the lectures link on the left. Data mining is the process of extracting patterns from large data sets by connecting methods from statistics and artificial intelligence with database management. Data mining courses from top universities and industry leaders. Lecture 58 overview of clustering mining of massive datasets stanford university. Data mining is also called knowledge discovery and data mining kdd data mining is extraction of useful patterns from data sources, e. Become familiar with basic unsupervised procedures including clustering and principal components analysis. The emphasis is on map reduce as a tool for creating parallel algorithms that can process very large amounts of data. All lectures this quarter will be recorded on zoom. Take online data mining and data science courses with top stanford faculty that count toward a stanford graduate certificate.
Stanford online retired the lagunita online learning platform on march 31, 2020 and moved most of the courses that were offered on lagunita to. Statistical aspects of data mining stats 202 day 1 youtube. The lecture slides and assignments will be posted online as the course progresses. Cs345a has now been split into two courses cs246 winter, 34 units, homework, final, no project and cs341 spring, 3 units, projectfocused. This can be an example you found in the news or in the literature, or something you thought of yourselfwhatever it is, you will explain it to us clearly. Lecture notes data mining sloan school of management. Lecture by professor andrew ng for machine learning cs 229 in the stanford computer science department.
Jul 22, 2008 lecture by professor andrew ng for machine learning cs 229 in the stanford computer science department. Explore, analyze and leverage data and turn it into valuable, actionable information for your company. Lecture 34 data mining and knowledge discovery 89,698 views this video is part of a lecture series in a database systems class. I will follow the material from the stanford class very.
Indeed, the pace of innovation in these areas prevents proper coverage by conferences of broader scope. Learn how to apply data mining principles to the dissection of large complex data sets, including those in very large databases or through web mining. At the start of class, a student volunteer can give a very short presentation 4 minutes. First acm international conference on web search and data. Mining massive datasets stanford university full course. Machine learning lectures syllabus handouts assignments resources. Slides from the lectures will be made available in pdf format. See cs229 machine learning fall,2007 course features at stanford engineering everywhere page. Introduction to data science the lectures in week 3 give an excellent introduction to mapreduce and hadoop, and demonstrate with examples how to use mapreduce to do various tasks.
Data mining in this intoductory chapter we begin with the essence of data mining and a dis. Basic concepts and methods lecture for chapter 8 classification. Basic concepts lecture for chapter 9 classification. Get started with lists to organize and share courses. When data is stored as a very large, sparse matrix, dimensionality reduction is often a good way to model the data, but standard approaches do not scale well. Wsdm pronounced wisdom is a young acm conference intended to be the publication venue for research in the areas of search and data mining. Examples for extra credit we are trying something new. Final exam for this class will be in dinkelspiel auditorium from 8.
Watch video lectures on scpd any stanford student can see. It gives the fundamentals needed to deal with data in an easy way. Jun 17, 2018 when data is stored as a very large, sparse matrix, dimensionality reduction is often a good way to model the data, but standard approaches do not scale well. Mining massive datasets is graduate level course that discusses data mining and machine learning algorithms for analyzing very large amounts of data.
Find materials for this course in the pages linked along the left. Professor ng provides an overview of the course in this introductory meeting. Stanford data mining courses and certificates are designed to give you the skills you need to gather and analyze massive amounts of information, and to translate that information into actionable business strategies. Statistical aspects of data mining with r fivehour lecture videos on youtube. The emphasis will be on map reduce as a tool for creating parallel algorithms that can process very large amounts of data. Datacamp courses and tutorials on r and data science. Csc 47406740 data mining tentative lecture notes lecture for chapter 1 introduction lecture for chapter 2 getting to know your data lecture for chapter 3 data preprocessing. Take individual courses or work toward the graduate certificate that interests. Watch video lectures on scpd any stanford student can see them here. Today, every industry needs forwardthinking data miners with cutting edge skills in converting data into valuable, actionable information. Knowledge of basic computer science principles and skills, at a level. Learn data mining online with courses like data mining and ibm data science. Lecture 3 scheduling and data flow stanford university.
Download course materials data mining sloan school of. The course will discuss data mining and machine learning algorithms for analyzing. Students will use the gradiance automated homework system for which a fee will be charged. Data mining is a rapidly growing field that is concerned with developing techniques to assist managers to make intelligent use of these repositories. Important course information will be posted on this web page and. Statistical learning with big data, stanford, october 21, 2015 a talk on statistical learning intended for a general audience. Third acm international conference on web search and data. Familiarity with the basic linear algebra any one of math 51, math 103, math 1, or cs 205 would be much more than necessary. We are happy for anyone to use these resources, but we cannot grade the work of any. Wsdm pronounced wisdom is a brand new acm conference intended to be complementary to the world wide web conference tracks in search and data mining.
Mining associations between sets of items in massive databases, r. Today, every industry needs forwardthinking data miners with cutting edge skills in converting data into. First international conference on knowledge discovery and data mining, pp. The gradiance quiz on data streams has been released. You can also check our past coursera mooc public resources. Apr 12, 2016 94 videos play all mining massive datasets stanford university full course artificial intelligence all in one oauth 2. Youll learn to guide important business decisions and give your career a boost. Here you will learn data mining and machine learning techniques to process large datasets and extract valuable knowledge from them. Understand the distinction between supervised and unsupervised learning and be able to identify appropriate tools to answer different research questions. Electronic data capture has become inexpensive and ubiquitous as a byproduct of innovations such as the internet, ecommerce, electronic banking, pointofsale devices, barcode readers, and intelligent machines. Buehlermartin lecture, university of minnesota, march 9, 2009 updated icme seminar, stanford, november, 2006. For your convenience, you can access these recordings by logging. Your browser does not currently recognize any of the video formats available. Lecture 1 distributed file systems stanford university.
Keynote address, 1st south african data mining conference, stellenbosch, 2005. Now, statisticians view data mining as the construction of a statistical model, that is, an underlying. Lecture 58 overview of clustering mining of massive datasets. Click here to visit our frequently asked questions about html5. Data that has relevance for managerial decisions is accumulating at an incredible rate due to a host of technological advances. Specifically, substantial work is currently being done in the areas of workloaddriven crawling and. The acm conference series acm international conference. Although a relatively young and interdisciplinary field of computer science, data mining involves analysis of large masses of data and conversion into useful information. When you complete a course, youll be eligible to receive a shareable electronic. Leland stanford junior university, commonly referred to as stanford university or simply stanford, is a private research university in stanford, california in the northwestern silicon valley near palo alto. Take courses from the worlds best instructors and universities. The data mining specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Data mining is a powerful tool used to discover patterns and relationships in data.
The pace of innovation in these areas has reached a level that requires more than one premier annual venue. Introduction to data mining stat2450, winter 2016 dalhousie university january 5, 2016 1 readings and learning actions 1. The course will also discuss recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing. Stanford online offers a lifetime of learning opportunities on campus and beyond. Students are expected to have the following background. I will follow the material from the stanford class very closely. The course will discuss data mining and machine learning algorithms for. The high attendance at the first two wsdms, held at stanford university and barcelona in february 2008 and 2009, has confirmed. In spring 2018, we will be offering a project based course where.
The course will discuss data mining and machine learning algorithms for analyzing very large amounts of data. View order hot popular just published recent top voted. Through online courses, graduate and professional certificates, advanced degrees. Stanford engineering everywhere cs229 machine learning. Data mining sloan school of management mit opencourseware. Trevor hastie lectures and talks stanford university. The book, like the course, is designed at the undergraduate. Today, data mining has taken on a positive meaning. Lecture 36 mining data streams stanford university youtube. Association rules market basket analysis pdf han, jiawei, and micheline kamber. The course is based on the text mining of massive datasets by jure leskovec.
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