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Sew-O-Ween! | Makerspace Urbana

Sew-O-Ween! | Makerspace Urbana | Big and Open Data, FabLab, Internet of things | Scoop.it
But don't fret as Shared Threads and Makerspace Urbana have teamed up to help you. We'll be holding a series of sewing-oriented open hours in the weeks leading up to Halloween. If you enjoy making your own costume, ...
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Big and Open Data, FabLab, Internet of things
Big and open data, Internet of things, digital fabrication, additive manufacturing, 3D printing, laser cutting, arduino,...
Curated by Elisa Vivancos
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What will happen when the internet of things becomes artificially intelligent?

What will happen when the internet of things becomes artificially intelligent? | Big and Open Data, FabLab, Internet of things | Scoop.it
From Stephen Hawking to Spike Jonze, the existential threat posed by the onset of the ‘conscious web’ is fuelling much debate – but should we be afraid?

Via Roger Smith
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¿A qué famoso te parecés? La respuesta la tiene el Big Data

¿A qué famoso te parecés? La respuesta la tiene el Big Data | Big and Open Data, FabLab, Internet of things | Scoop.it
Se trata de un servicio desarrollado en conjunto por IBM Watson y SilverGate, equipo de investigación de IBM Argentina.
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Will Scala Take Over the Big Data World?

Will Scala Take Over the Big Data World? | Big and Open Data, FabLab, Internet of things | Scoop.it
When it comes to picking a language for writing big data applications, developers have an embarrassment of riches at their disposal. Python and R have prov
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The 10 Coolest Big Data Startups Of 2015 (So Far)

The 10 Coolest Big Data Startups Of 2015 (So Far) | Big and Open Data, FabLab, Internet of things | Scoop.it
Big data continues to be one of the fastest-growing segments of the IT industry with researcher Wikibon predicting market growth of 22 percent this year. Here are 10 of the coolest big data startups of the year (so far).
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10 Machine Learning Terms Explained in Simple English

10 Machine Learning Terms Explained in Simple English | Big and Open Data, FabLab, Internet of things | Scoop.it
If you’re relatively new to Machine Learning and it’s applications, you’ll more than likely have come across some pretty technical terms that are often difficu…
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7 amazing human-powered gadgets

7 amazing human-powered gadgets | Big and Open Data, FabLab, Internet of things | Scoop.it
By Cat DiStasio
Electricity runs the world we live in -- but we often overlook the fact that our own bodies generate quite a bit of energy just by doing what we...

Via cafonso
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Rescooped by Elisa Vivancos from Educational technology , Erate, Broadband and Connectivity
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Big Data and Predictive Analytics: Hope or Hype? - Hidden Brains Blog

Big Data and Predictive Analytics: Hope or Hype? - Hidden Brains Blog | Big and Open Data, FabLab, Internet of things | Scoop.it
Predictive analytics is not a new phenomenon. It has been in existence for decades and finally coming of age. Businesses across the globe are looking to use

Via Bonnie Bracey Sutton
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Richard Platt's curator insight, July 26, 7:33 PM

Types of Business Analytics  

(1) Descriptive Models:  Descriptive models look into customer’s history to often classify prospects into groups and categorize customers by preferences and life stage. Descriptive models can help you uncover reasons for success and failures in the past, ultimately helping you make informed decisions in the present.   

(2) Predictive Models:  Predictive model uses rules and algorithms to help predict a given outcome from specified units. The objective is to assess the likelihood whether a similar unit in a different sample will exhibit exactly same performance. Predictive models often perform calculations during live transactions to evaluate risk or opportunity in order to guide a decision.  

(3) Decision Models:  Decision models describe the relationship between all the elements of a decision to predict the results. This model drives set of business rules to produce preferred action for every customer or circumstance.

graham j. passmore's curator insight, August 2, 8:05 AM

Types of Business Analytics  

(1) Descriptive Models:  Descriptive models look into customer’s history to often classify prospects into groups and categorize customers by preferences and life stage. Descriptive models can help you uncover reasons for success and failures in the past, ultimately helping you make informed decisions in the present.   

(2) Predictive Models:  Predictive model uses rules and algorithms to help predict a given outcome from specified units. The objective is to assess the likelihood whether a similar unit in a different sample will exhibit exactly same performance. Predictive models often perform calculations during live transactions to evaluate risk or opportunity in order to guide a decision.  

(3) Decision Models:  Decision models describe the relationship between all the elements of a decision to predict the results. This model drives set of business rules to produce preferred action for every customer or circumstance.

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Big Data: Big Value or Big Risk?

Big Data: Big Value or Big Risk? | Big and Open Data, FabLab, Internet of things | Scoop.it
We wish we had a dollar for every time we heard or read the words Big Data at the Nor-Shipping exhibition last month.
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¿«Big Data» más barato? El MIT propone usar memoria Flash en vez de RAM - Neoteo

¿«Big Data» más barato? El MIT propone usar memoria Flash en vez de RAM - Neoteo | Big and Open Data, FabLab, Internet of things | Scoop.it
La memoria RAM es uno de los recursos más críticos en el mundo de la informática. Nunca se puede tener suficiente, y cuanto más rápida sea, mejor. Claro que, esto se traduce en costos enormes, y cuando ingresamos al territorio del Big Data, acumular varios terabytes de RAM pone en jaque a cualquier presupuesto. La...
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Online Dashboards: Eight Helpful Tips You Should Hear From Visualization Experts

Online Dashboards: Eight Helpful Tips You Should Hear From Visualization Experts | Big and Open Data, FabLab, Internet of things | Scoop.it
“There is no such thing as information overload, only bad design”

- Professor Emeritus of Political Science, Statistics, and Computer Science at Yale University Edward Tufte

The number of organizations working on data-driven projects increased by 125% in the past year. 44% of companies tackle big data “all the time.” 82% of executives call big data “important or mission critical.” How do we manage all this data? Interactive dashboards. This post has four sections (data, design, functionality,
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Microsoft pioneers new 'machine teaching' technology to bring machine learning to the masses

Microsoft pioneers new 'machine teaching' technology to bring machine learning to the masses | Big and Open Data, FabLab, Internet of things | Scoop.it
Tech companies are constantly building and testing technology which could cause the next paradigm shift in how the world communicates, creates, and consumes. Many big names including Google, IBM and
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10 ideas fabulosas de ‘startups’ españolas

10 ideas fabulosas de ‘startups’ españolas | Big and Open Data, FabLab, Internet of things | Scoop.it
Las empresas intentan conquistar el mercado fusionando lo tecnológico con problemas diarios o sueños de siempre
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Industria convoca ayudas para impulsar el 'cloud' en pymes por 40 millones

El Ministerio de Industria, Energía y Turismo, a través de la entidad pública Red.es, ha convocado ayudas para el impulso de soluciones de computación en la...
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Rescooped by Elisa Vivancos from Brain Tricks: Belief, Bias, and Blindspots
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Five mid-week reads in behavioural science, machine learning and robotics

Five mid-week reads in behavioural science, machine learning and robotics to stay up dated on the robot economy.

Humans define the goals, technology implements the goals – A wide ranging interview with Stephen Wolfram on Artificial Intelligence and the future. “I think the issue is, as you look to the future, and you say, “Well, what will the future humans …?” where there’s been much more automation that’s been achieved than in today’s world—and we’ve already got plenty of automation, but vastly more will be achieved. And many professions which right now require endless human effort, those will be basically completely automated, and at some point, whatever humans choose to do, the machines will successfully do for them. And then the question is, so then what happens? What do people intrinsically want to do? What will be the evolution of human purposes, human goals?” (GigaOm)Chinese factory replaces 90% of humans with robots, production soars – There are still people working at the factory, though. Three workers check and monitor each production line and there are other employees who monitor a computer control system. Previously, there were 650 employees at the factory. With the new robots, there’s now only 60. (TechRepublic)Sex with robots will be ‘the norm’ in 50 years – An expert on the psychology of sex has claimed that she expects having sex with robots to be socially acceptable by 2070 (The Independent)Cheaper Robots, Fewer Workers – A NY Times Bits video series, called Robotica, examining how robots are poised to change the way we do business and conduct our daily lives. (The New York Times)10 lessons in Reinforcement Learning from Google’s DeepMind – A very good series of videos on Reinforcement Learning, by David Silver from Google’s DeepMind:

Via Alessandro Cerboni, Jocelyn Stoller
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El ONTSI desarrolla un proyecto pionero sobre la viabilidad de usar Internet como fuente de datos

El ONTSI desarrolla un proyecto pionero sobre la viabilidad de usar Internet como fuente de datos | Big and Open Data, FabLab, Internet of things | Scoop.it
El Observatorio Nacional de las Telecomunicaciones y la Sociedad de la Información (ONTSI) ha desarrollado dos pruebas piloto para analizar el éxito d...
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The Big 'Big Data' Question: Hadoop or Spark?

The Big 'Big Data' Question: Hadoop or Spark? | Big and Open Data, FabLab, Internet of things | Scoop.it
One question I get asked a lot by my clients recently is: Should we go for Hadoop or Spark as our big data framework? Spark has overtaken Hadoop as the most ac…
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My playlist – Top YouTube Videos on Machine Learning, Neural Network & Deep Learning

My playlist – Top YouTube Videos on Machine Learning, Neural Network & Deep Learning | Big and Open Data, FabLab, Internet of things | Scoop.it
Here's a collection of top best youtube videos on data science, machine learning, neural networks, deep learning, artificial networks tutorials with their summary from experts.
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La siguiente evolución del aprendizaje de máquina: Enseñanza de máquina

La siguiente evolución del aprendizaje de máquina: Enseñanza de máquina | Big and Open Data, FabLab, Internet of things | Scoop.it
Blog de Microsoft Latinoamérica para comunicar en español las principales noticias de tecnología en América Latina y todo sobre los productos de Microsoft: Windows, Windows Phone, Office, Xbox, Skype, Dynamics, Azure. Además consejos y trucos.
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Taking the Mystery Out of Big Data | SmartData Collective

Taking the Mystery Out of Big Data | SmartData Collective | Big and Open Data, FabLab, Internet of things | Scoop.it
Today's companies have the potential to benefit from incredibly large amounts of data. To shake off the mystery of this "Big Data," it's useful to know its history. In the not-so-distant past, firms tracked their own internal transactions and master data (products, customers, employees, and so forth) but little else.
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The Industrial Internet of Things Is All About the Data | Automation World

A look at how the industrial application of the Internet of Things concept makes for a very different use of data than the consumer Internet of...
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19 Big Data and Analytics Developments To Track: 10 July, 2015

19 Big Data and Analytics Developments To Track: 10 July, 2015 | Big and Open Data, FabLab, Internet of things | Scoop.it
A look at the latest big data, analytics and business intelligence developments for the week ending July 10, 2015.
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Learning Path : Your mentor to become a machine learning expert

Learning Path : Your mentor to become a machine learning expert | Big and Open Data, FabLab, Internet of things | Scoop.it
Best way to learn machine learning has been defined in 6 easy steps. This learning path displays the best resources to learn machine learning
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