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数据挖掘:理论与算法 | Data Mining: Theories and Algorithms for Tackling Big Data
1 Review
Despite the large volume of data mining papers and tutorials available on the web, aspiring data scientists find it surprisingly difficult to locate an overview that blends clarity, technical depth...
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Data Science in Python
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Join the data revolution. Data science is the analysis of problems critical to our lives: from helping predict the spread of highly infectious diseases to guessing which movie you're likely to...
$500
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Hands-on Text Mining and Analytics
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This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experi...
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More Data Mining with Weka
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Become an experienced data miner This course introduces advanced data mining skills, following on from Data Mining with Weka . You’ll process a dataset with 10 million instances. You’ll mine a ...
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Data Analysis with R
5 Reviews
Learn data analytics in easy to follow stages for beginners
$75
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TC111: Technology for Monitoring and Evaluation
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How do you use technology to get insight from information? Whether you work for a small nonprofit, large government agency, or private sector firm, the demand to capture and visualize quantifiabl...
$395
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Big Data for Better Performance (BigData)
2 Reviews
Learn how you can predict customer demand and preferences by using the data that is all around you. In a digital world, data has gone ‘big’ – ushering in the age of the zettabyte. This course ...
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How to Process, Analyze and Visualize Data
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This course is an introduction to data cleaning, analysis and visualization. We will teach the basics of data analysis through concrete examples. You will learn how to take raw data, extract mean...
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Management of Services: Concepts, Design, and Delivery
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15.768 Management of Services: Concepts, Design, and Delivery explores the use of operations tools and perspectives in the service sector, including both for-profit and not-for-profit organization...
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Data, Models, and Decisions
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This course is designed to introduce first-year Sloan MBA students to the fundamental techniques of using data. In particular, the course focuses on various ways of modeling, or thinking structural...
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Models, Data and Inference for Socio-Technical Systems
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In this class, students use data and systems knowledge to build models of complex socio-technical systems for improved system design and decision-making. Students will enhance their model-building ...
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Ethics and the Law on the Electronic Frontier
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This course considers the interaction between law, policy, and technology as they relate to the evolving controversies over control of the Internet. In addition, there will be an in-depth treatment...
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Modeling and Assessment for Policy
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ESD.864 Modeling and Assessment for Policy explores how scientific information and quantitative models can be used to inform policy decision-making. Students will develop an understanding of quant...
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Medical Computing
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The focus of the course is on medical science and practice in the age of automation and the genome, both present and future. It ncludes an analysis of the computational needs of clinical medicin...
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Environmental Engineering Applications of Geographic Information Systems
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This graduate seminar is taught in a lecture and lab exercise format. The subject matter is tailored to introduce Environmental Engineering students to the use and potential of Geographic Informati...
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Information Technology Essentials
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This class offers a broad coverage of technology concepts and trends underlying current and future developments in information technology, and fundamental principles for the effective use of comput...
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Near-Surface Geophysical Imaging
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This graduate level course presents theories, methodologies, and applications of seismic imaging for solving the shallow near-surface (0 - 500 m) effects on the seismic data processing for oil and ...
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Biomedical Information Technology
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This course teaches the design of contemporary information systems for biological and medical data. Examples are chosen from biology and medicine to illustrate complete life cycle information syste...
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D4M: Signal Processing on Databases
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D4M is a breakthrough in computer programming that combines graph theory, linear algebra, and databases to address problems associated with Big Data. Search, social media, ad placement, mapping, tr...
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Computing and Data Analysis for Environmental Applications
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This subject is a computer-oriented introduction to probability and data analysis. It is designed to give students the knowledge and practical experience they need to interpret lab and field data. ...
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Knowledge-Based Applications Systems
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This course covers the development of programs containing a significant amount of knowledge about their application domain. The course includes a brief review of relevant AI techniques; case studie...
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Statistics and Visualization for Data Analysis and Inference
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A whirl-wind tour of the statistics used in behavioral science research, covering topics including: data visualization, building your own null-hypothesis distribution through permutation, useful pa...
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Performance Engineering of Software Systems
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Modern computing platforms provide unprecedented amounts of raw computational power. But significant complexity comes along with this power, to the point that making useful computations exploit eve...
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Research Seminar on Urban Information Systems
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Seminar participants and invited guests will lead critical discussions of current literature and ongoing research. Each student will be responsible for identifying, reviewing, and presenting one st...
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Experimental Projects II
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The Experimental Project Lab in the Department of Aeronautics and Astronautics is a two-semester course sequence: 16.621 Experimental Projects I and 16.622 Experimental Projects II (this cour...
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Digital Humanities
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This course examines the theory and practice of using computational methods in the emerging field of digital humanities. It develops an understanding of key digital humanities concepts, such as dat...
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Systems Optimization: Models and Computation (SMA 5223)
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This class is an applications-oriented course covering the modeling of large-scale systems in decision-making domains and the optimization of such systems using state-of-the-art optimization tools....
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Database, Internet, and Systems Integration Technologies
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This course addresses information technology fundamentals, including project management and software processes, data modeling, UML, relational databases and SQL. Topics covered include internet tec...
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D4M: Signal Processing on Databases
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D4M is a breakthrough in computer programming that combines graph theory, linear algebra, and databases to address problems associated with Big Data. Search, social media, ad placement, mapping, tr...
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How to Process, Analyze and Visualize Data
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This course is an introduction to data cleaning, analysis and visualization. We will teach the basics of data analysis through concrete examples. You will learn how to take raw data, extract mean...
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Experimental Projects I
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The Experimental Project Lab in the Department of Aeronautics and Astronautics is a two-semester course sequence: 16.621 Experimental Projects I (this course) and 16.622 Experimental Projects I...
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Bioinformatics and Proteomics
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This interdisciplinary course provides a hands-on approach to students in the topics of bioinformatics and proteomics. Lectures and labs cover sequence analysis, microarray expression analysis, Bay...
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Data Mining
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Data that has relevance for managerial decisions is accumulating at an incredible rate due to a host of technological advances. Electronic data capture has become inexpensive and ubiquitous as a by...
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Information Technology I
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Information Technology I helps students understand technical concepts underlying current and future developments in information technology. There will be a special emphasis on networks and distribu...
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Numerical Methods Applied to Chemical Engineering
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Numerical methods for solving problems arising in heat and mass transfer, fluid mechanics, chemical reaction engineering, and molecular simulation. Topics: Numerical linear algebra, solution of non...
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Topics in Mathematics of Data Science
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This is a mostly self-contained research-oriented course designed for undergraduate students (but also extremely welcoming to graduate students) with an interest in doing research in theoretical as...
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Database Systems
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This course relies on primary readings from the database community to introduce graduate students to the foundations of database systems, focusing on basics such as the relational algebra and data ...
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Spatial Database Management and Advanced Geographic Information Systems
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This semester long subject (11.521) is divided into two halves. The first half focuses on learning spatial database management techniques and methods and the second half focuses on using these skil...
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Integrating eSystems & Global Information Systems
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The strategic importance of information technology is now widely accepted. It has also become increasingly clear that the identification of strategic applications alone does not result in success f...
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A Workshop on Geographic Information Systems
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This class uses lab exercises and a workshop setting to help students develop a solid understanding of the planning and public management uses of geographic information systems (GIS). The goals are...
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Workshop in IT: Collaborative Innovation Networks
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Diversity begets creativity—in this seminar we tap the amazing power of swarm creativity on the Web by studying and working together as Collaborative Innovation Networks (COINs). As interdisciplina...
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Communicating With Data
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Communicating With Data has a distinctive structure and content, combining fundamental quantitative techniques of using data to make informed management decisions with illustrations of how real dec...
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Applied Econometrics: Mostly Harmless Big Data
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This course covers empirical strategies for applied micro research questions. Our agenda includes regression and matching, instrumental variables, differences-in-differences, regression discontinui...
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Statistical Thinking and Data Analysis
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This course is an introduction to statistical data analysis. Topics are chosen from applied probability, sampling, estimation, hypothesis testing, linear regression, analysis of variance, categoric...
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Mathematics of Machine Learning
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Broadly speaking, Machine Learning refers to the automated identification of patterns in data. As such it has been a fertile ground for new statistical and algorithmic developments. The purpose of ...
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Statistics and Visualization for Data Analysis and Inference
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A whirl-wind tour of the statistics used in behavioral science research, covering topics including: data visualization, building your own null-hypothesis distribution through permutation, useful pa...
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Lean Analytics Workshop - Alistair Croll and Ben Yoskovitz
1 Review
Use data to build a better startup faster in partnership with Geckoboard
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Christine
7 years, 1 month ago
Really interesting course. I have prior experience having read Lean Startup and Lean UX. The authors are Canadian and I met with them a few ...
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Crawl the Web With Python
0 Reviews
In a recent business venture, I found it necessary to collect bulk data from different online sources in order to centralize it and make it easier for people to find and to make sense of. None of t...
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Mining Massive Datasets
0 Reviews
Welcome to the self-paced version of Mining of Massive Datasets! The course is based on the text Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, and Jeff Ullman, who by coincide...
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TBA
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Intro to Hadoop and MapReduce
10 Reviews
The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing. Learn the fundamental principles behind it, and how you can use its power to make sense of y...
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Tomas Kazemekas
6 years, 9 months ago
I have completed the updated version recently. It is a good introduction to Hadoop distributed computing system useful for big data processi...
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