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Exaptive

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Webinar on feature extraction, clustering of time-series data, Feb. 23. http://hubs.ly/H020McB0 #datascience #analytics #bigdata
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"Topic Modeling Large Amounts of Text Data" by @frankdevans http://hubs.ly/H023qT10 #datascience #textanalytics
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#Meta: "The Open Science Twitterverse" by @Mark_A_Thornton http://hubs.ly/H0239pw0 #openscience #datascience
A meta-scientific revolution is underway - open science - and it's on Twitter. I examine its activity and network structure.
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For #tennis fans: "How To Chart A Match and Why It's Important" http://hubs.ly/H02391z0 #datavis #sportsanalytics
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Nice tutorial on machine learning applied to business problems http://hubs.ly/H0222pk0 #machinelearning #datascience
January 27, 2016 - Nicolas Kruchten Machine Learning Meets Economics. The business world is full of streams of items that need to be filtered or evaluated: parts on an assembly line, resumés in an application pile, emails in a delivery queue, transactions awaiting processing.
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Cool data vis and project story: "Seasonal Wind Predictions for the Energy Sector" http://hubs.ly/H0222nG0 #datavis
Project Ukko presents a novel way to spot patterns in seasonal wind prediction data. Understanding future wind conditions can become a crucial component block in supporting clean energy sources and climate change resilience. Our visualization allows energy traders, wind farm managers and others to spot global patterns and trends in future wind conditions, and drill into detailed prediction breakdowns on a regional level.
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A Novice Coder, Finance Application, and the Value of Rapid Prototyping http://hubs.ly/H0246rR0 #api #code #data
Luke Tucker's post on leveraging modular development to build a data application and the value of rapid application development.
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Coincidence? No way! @frankdevans speaks http://hubs.ly/H023rpM0 change happens: "Biased Redistricting Struck Down" http://hubs.ly/H023rpN0 
Good morning! Here’s your daily digest of money-and-politics news and the headlines of the day. Continue reading
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Interactive #datavis and interesting data: "How do survival estimates compare for common cancers?" http://hubs.ly/H02393J0 #lifesciences
Survival estimates for nearly all cancers have improved since the early 1970s. While estimates have improved more for some cancers than others, generally there's a more positive outlook for many cancer patients than there used to be. The survival estimates used here tell us the percentage of ...
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On point? Provocative? "The ethical data scientist would strive to improve the world, not repeat it." http://hubs.ly/H02217r0 #datascience
In the waning months of the Bloomberg administration, I worked for a time in a New York City Hall data group within the Health and Human Services divis ...
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Well done tutorial: "Learning How To Code Neural Networks" http://hubs.ly/H0222nT0 #datascience #neuralnetworks
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More like random vines! (sorry) "Predicting wine quality using Random Forests" http://hubs.ly/H021w1P0 #rstats #datascience
Hello everyone! In this article I will show you how to run the random forest algorithm in R. We will use the wine quality data set (white) from the UCI Machine Learning Repository. What is the Random Forest Algorithm? In a previous post, I outlined how to build decision trees in R. While decision trees […]
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Data-driven apps. Simple modularity. Limitless Possibility.
Introduction
Our mission is more data-driven aha moments, and we believe interoperability, modularity, and community make them happen. So we built a platform where data, code, and expertise from anywhere are compatible building blocks for data science software.  

Use the Exaptive SDK to create data-driven web applications using whatever tools and technologies make sense. Rapidly repurpose data, software tools, and code, and actually create breakthroughs from cross-disciplinary collaboration and experimentation. A community of developers extends customers’ capabilities through a component store. Leveraging meta-data and community, the platform connects people with overlapping use-cases, fosters collaboration and creativity, and enables faster breakthroughs. The result is that customers can create and use web applications with the power of custom solutions but at the cost of off-the-shelf products.  And smart people working with data can pursue their cognitive process without length IT interventions that stall and often stop projects in their tracks. 

"Combinatory play seems to be the essential feature in productive thought." - Albert Einstein
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