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Active learning increases student performance in science ... » Jun 10, 2014 ...The data reported here indicate that active learning increases examination performance by just under half a SD and that lecturing increases failure rates ..... in Science, Technology, Engineering, and Mathematics, eds Gates SJ Jr., Handelsman J, Lepage GP, Mirkin C (Office of the President, Washington). Pnas.org

Predicting Time-to-Failure of Industrial Machines with Temporal ... » Masters of Science. University of Washington. 2007 ...to failure. This project determined that it is possible to analyze a machine's temporal vibration data results to produce an estimated time to a failure based on the progression of identified faults when there is a .....as the dataset changes. The system will learn over time to. Tacoma.uw.edu

UCI Machine Learning Repository: Heart Disease Data Set » Jul 1, 1988 ...The "goal" field refers to the presence of heart disease in the patient. It is integer ...Experiments with the Cleveland database have concentrated on simply attempting to distinguish presence (values 1,2,3,4) from absence (value 0). The names ....Department of Computer Science, Stanford University. 2000. Archive.ics.uci.edu

Machine Learning Foundations: A Case Study Approach | Coursera » Machine Learning Foundations: A Case Study Approach from University of Washington. ...Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? ...-Represent your data as features to serve as input to machine learning models. Coursera.org

Enhancing Teaching and Learning Through Educational Data ... » granted. While permission to reprint this publication is not necessary, the suggested citation is: U.S. Department of Education, Office of Educational Technology, Enhancing Teaching and. Learning Through Educational Data Mining and Learning Analytics: An Issue Brief,. Washington, D.C., 2012. This report is available on... Tech.ed.gov

Machine Learning: What it is and why it matters | SAS » They learn from previous computations to produce reliable, repeatable decisions and results. It's a science that's not new – but one that has gained fresh momentum. While many machine learning algorithms have been around for a long time, the ability to automatically apply complex mathematical calculations to big data... Sas.com

System Failure: What I've Learned As A Data Scientist In Washington » Mar 29, 2016 ...This summer marks my three-year anniversary as a data scientist in Washington – here's what I've learned about a world in which “innovation” is simply a buzzword pasted into press releases and were technology offers a time machine to the past. Forbes.com

The Right Process For Big Data Analytics Profit » Mar 31, 2016 ...So has a meaningful, open standard for data analysis that was specifically developed for dealing with massive datasets; it's called CRISP-DM. ...6 (OK, 7) Big Data and Analytics Learning Resources That Business People Can. ... System Failure: What I've Learned As A Data Scientist In Washington... Forbes.com

A Few Useful Things to Know about Machine Learning » [email protected]. ABSTRACT ...1. INTRODUCTION. Machine learning systems automatically learn programs from data. This is often a very attractive alternative to manually constructing them, and in the last decade the use of machine learning has spread rapidly throughout computer science and beyond. Homes.cs.washington.edu

GitHub - justmarkham/DAT8: General Assembly's Data Science ... » Aug 18, 2015 ...DAT8 - General Assembly's Data Science course in Washington, DC. ... Alternatively, read A Visual Introduction to Machine Learning, which focuses on a specific machine learning model called decision trees. Optional: Browse through some more example student projects, which may help to inspire your... Github.com