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Analytics
Mike Gilliland 0
2017 SAS/IIF forecasting research grants

For the fifteenth year, the International Institute of Forecasters, in collaboration with SAS®, is proud to announce research grants for how to improve forecasting methods and business forecasting practice. The award for the 2017-2018 year will be two $5,000 grants, in Business Applications and Methodology. Criteria for the award of

Analytics | Data Management | Machine Learning
Andreas Becks 0
Paradies gesucht? Die Daten haben West Perth gefunden

Wollten Sie schon immer mal an einem Ort leben, wo es kostenlosen öffentlichen Nahverkehr gibt, die höchste Dichte an Self-Made-Millionären herrscht, wo jedem Einwohner umgerechnet ca. fünf Golfplätze an Grünflächen zur Verfügung stehen oder es 84.274,6 km Fußgängerwege gibt? Willkommen in West Perth! Zumindest analytisch gesehen ist der kleine Stadtteil

Data Visualization
Sanjay Matange 0
Image backgrounds

As many of the regular readers of this blog know, SGPLOT and GTL, provide extensive tools to build complex graphs by layering plot statements together.  These plots work with axes, legends and attribute maps to create graphs that can scale easily to different data. There are, however, many instances where

Analytics | Machine Learning
Joanna Gola 0
10 Commandments of Applied Econometrics or how not to sin when working with real data – Part 5

In the fourth post of the 10 Commandments of Applied Econometrics series we discussed the issues of keeping the solutions sensibly simple and applying model validation. Today, I will present another commandment related to data mining techniques. Use data mining reasonably. In the econometric community, data mining is a controversial and highly emotional

Analytics | Data Visualization
대덕전자, ‘빅데이터 시각화’를 통해 제조 품질 극대화

최근 금융, 통신, 자동차, 공공, 리테일, 교육 등 모든 산업을 관통하고 있는 한 단어가 있습니다. 바로 4차 산업혁명인데요. 빅데이터, 사물인터넷(IoT), 인공지능(머신러닝), 로봇 등 첨단 ICT 기술의 융합으로 완성되는 4차 산업혁명은 미래 산업의 필수 성장 동력으로 자리잡았습니다. 그 중에서도 특히 제조업은 이른바 ‘인더스트리 4.0’의 촉발과 함께 그 새로운 혁명의 시작을 알렸는데요.

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