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- Why some people are more innovative — [VIDEO]
- Forbes editor deciphers Steve Jobs’s Apple. — [VIDEO]
- Jason Ruspini rebuts Eric Zitzewitz on the regulation of political prediction markets. — [COMMENT]
- Eric Zitzewitz petitions the CFTC in favor of real-money prediction markets about politics. — [TEXT]
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- A Swarm of Nano Quadrotors — [VIDEO]
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- Apple’s e-book software will allow publishers to make textbooks more interactive. — [LINKS + VIDEO]
- Alain Soral is France’s most dangerous intellectual… (dangerous for the French plutocrats, that is). — [VIDEO]
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Tag Archives: data mining meta-algorithms
–> data science & predictive analytics <– — [INTERVIEW]
1. DATA MUNGING: slice and dice, transform, extract and work with data in a facile, fluid way. 2. DATA MODELING: taking a set of data and being able to develop a hypothesis about a pattern in the data and to … Continue reading →
Posted in Economics, Inventions & Innovations, Research, Science
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Tagged analytics, business intelligence data mining, cusiness intelligence team, customer analytics, data, data mining, data mining meta-algorithms, data modeling, data munging, data science, data scientists, data visualization, database, predictive analytics, text analytics and text mining
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Hybrid Prediction Markets
Adam highlights the inevitability of prediction markets’ integration with CRM/ERP systems. Bo leads discussion to the right direction. I’d like to speculate further on Bo’s first point. The integration with business intelligence software, corporate data warehouses and document indexes will … Continue reading →
Posted in All Best Posts Ever, All Guest Authors's Posts, Analysis (Industry), Analysis (Meta), Exchanges & Markets, Inventions & Innovations, Software
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Tagged Adam, business intelligence, business intelligence software, CRM, data mining meta-algorithms, hot business
applications, Institute of Prediction Markets, machine learning, market-based meta-algorithm
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