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Scooped by
Elisa Vivancos
onto Big and Open Data, FabLab, Internet of things |
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Entendiendo la cultura informática moderna para poder innovar para provecho de todos.
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Here is how to make a Stereolithography 3D Printer. It is still a bit of a work in progress but so far it is working pretty well. This is mainly an experiment which started as a Delta Robot Stereolithography Printer but ended as a more traditional Cartesian Stereolithography Printer. "I'll be honest, we're throwing science at the walls here to see what sticks. No idea what it'll do." - Cave Johnson Stereolithography (SL or SLA from Stereolithography Apparatus) is an additive manufacturing process using a vat of liquid UV-curable photopolymer "resin" and a UV laser to build parts one layer at a time. On each layer, the laser beam traces a cross-section pattern of the part onto the surface of the liquid resin. Exposure to the UV laser light cures, solidifies the pattern traced on the resin and adheres it to the layer below. I have wanted a 3D ...
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“ The Constructal Law Reveals that Human Organizations like Governments, Businesses and the Education System Evolve to Increase Flow.”
Via Roberto S L Naboni
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Take a look at the top 5 machine learning and data science repositories that were created in February, 2018 on Github - FastPhotoStyle.
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“This post provides a concise overview of 18 natural language processing terms, intended as an entry point for the beginner looking for some orientation on the topic.”
Via Philippe Serafin
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“ Dans un système d’information, un petit peu de sémantique peut vous emmener très loin... Nous vous invitons à la découverte de la notion d’ontologie et de ses applications.”
Via Mickael Ruau
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“ In this article we’ll get up and running on the Semantic Web in less than 5 minutes using SPARQL with R.”
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this article displays the list of machine learning algorithms such as linear, logistic regression, kmeans, decision trees along with Python R code
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This article provides a comprehensive introduction to Apache Spark, its benefits, APIs, RDDs, Dataframes & solves a machine learning problem
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In today’s Digital age, insights received from data science are extremely important to deliver the best customer experience.
Data Scientists use various tech…
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Automated Data Discovery - What's the real #GDPR value-add? And have you got what it takes to realise it?
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Big Data no es un concepto de moda, sino que vino para quedarse. Pero algunos autores plantean que cabe complementarlo con el Thick Data, que podríamos resumirlo diciendo que es como un documentalista cociera esos grandes volúmenes de datos a fuego lentísimo, con mucho mimo. Os enlazamos un artículo reciente de La Vanguardia donde lo …
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“ Tecnología, economía, empresa, sociedad, mundo digital. Management, Social Media, Innovación, Creatividad, Proyectos, BPM, Enterprise Architecture”
Via Manuel Gross |
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“ Machine Learning is currently dedicated to the completion of much more mundane tasks in a centerlised (almost all cases) with some exceptions it also runs on distributed infrastructure.In machine learning various specific algorithms and services are managed at the most efficient place between the actual sourc”
Via Shiwon Cho
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El sueño de todo programador
probablemente sea tener una herramienta que le diga cuando comete un error. Ubisoft, la compañía francesa de videojuegos, trabaja con una nueva IA que no tiene que avisar de ello, señala los errores de código antes de que se cometan.
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“ Back in the days when a neural network was that scary, hard-to-learn thing which was rather a mathematical curiosity than a powerful machine learning tool - there were surprisingly many relatively successful applications of classical data mining algorithms in Natural Language Processing (NLP) domain. It seemed that problems like spam filtering or Part of Speech Tagging could be solved using rather easy and understandable models.”
Via Eric Feuilleaubois
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“ « Les projets de « moteurs de recherche sémantiques », ou de « d’accès intelligent à l’information » nécessitent de mettre au point, reprendre et maintenir des référentiels d’autorités :…”
Via LaLIST
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by Matthew Lincoln November 24, 2015
"This lesson explains why many cultural institutions are adopting graph databases, and how researchers can access these data though the query language called SPARQL." Via aguyon 
aguyon's curator insight,
December 6, 2015 5:25 PM
Thanks to Mod librarian ! http://modlibrarian.tumblr.com
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Recently, when I was attending AINL-ISMW FRUCT 2015 conference, I found out that Google open-sourced TensorFlow. That is cool, but may provoke some questions.…
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In the previous parts of our tutorial we discussed:
Basic notation used in assessing classification models Quantitative quality indicators Confusion Matrix…
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Model evaluation metrics are used to assess goodness of fit between model and data, to compare different models, in the context of model selection, and to pred…
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Distributed learning y sus aplicaciones. Fuente: http://visual.ly/distributed-learning El aprendizaje distribuido es un modelo de instrucción que permite que
Via Ramiro Aduviri Velasco, Sonia C. Alonso
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Comunicación de Atos Spain y Universidad de Málaga presentada al 3 Congreso Ciudades Inteligentes 2017.
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“ In this article we’ll get up and running on the Semantic Web in less than 5 minutes using SPARQL with R.”
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To be successful with your social media marketing efforts you need to provide value on your social accounts. And most of the time, this value comes in the form of shared content – a lot of content. And while your own content should always be at the center of your marketing efforts, you can provide a ton more value when you add great content from other people from your niche to the mix.
Often, finding this great content to share is what is eating up most of the time young marketers spend on building their social media audience.
Here are 7 tools that can make your content curation a lot more efficient – and effective.... Via Jeff Domansky 
Jeff Domansky's curator insight,
February 28, 2017 2:04 AM
Finding content to share on social media takes up a lot of time. Susanna Gebauer shares seven content curation tools to help find the best content to share.
Jeff Domansky's curator insight,
February 28, 2017 2:09 AM
Finding content to share on social media takes up a lot of time. Susanna Gebauer shares seven content curation tools to help find the best content to share. |
