Examples of using Visual analytics in English and their translations into Indonesian
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The Fastest Visual Analytics for Big Data.
Seeing student learning with visual analytics.
Visual analytics is a key requirement of the early 21st century.
Oracle Data Visualization: self-service visual analytics.
Visual Analytics helps to deal with the flood of information by integrating the human in the data analysis process.
Oracle Data Visualization: self-service visual analytics.
In this uncharted world of boundless data, visual analytics is providing our new maps and new ways of navigating.
Executive program online in big data and visual analytics.
He helped to develop a system called Valcri- Visual Analytics for Sense-Making in Criminal Intelligence Analysis.
Communication of the analysis results in skills through presentations and reports with visual analytics tools.
SAS Visual Analytics is highly scalable, ranging from scenarios with a handful of users to a corporate-wide, global deployment.".
In addition,researchers may apply to receive cloud-computing support from Microsoft, and visual analytics support from Tableau.
Visual analytics can assess auto or property damage based on images and videos and determine if the damage amounts claimed are accurate or not.
The researchers will create a robustAI platform for large-scale machine learning and visual analytics that can develop novel applications from Grab's massive data set.
Visual analytics and marketing platform Curalate took things a bit further and analyzed 8 million Instagram photos to figure out which colors get more likes than others.
Cosmos Bank, the dominant player in Taiwan's cash-card market,uses SAS® Visual Analytics to dive into its big data for up-to-the-minute customer intelligence and risk management.
Visual analytics: Data can be analyzed in different ways and the simplest way is to create a visual or graph and look at it to spot patterns.
Augmented reality, multi-touch interaction, crowdsourcing, multimodal communication,effective computer, visual analytics of big data, intelligent interface for robots, E-learning, healthcare, and e-commerce.
Visual analytics: Data can be analyzed in different ways and the simplest way is to create a visual or graph as a means of identifying patterns or trends in the data.
Examples from marketing, finance, quality control andhuman resources departments show how businesses can use visual analytics to explore their big data and create or maintain competitive advantage.
We are growing our community of practice in visual analytics and this is a chance to join our team, to work alongside some of the best UK researchers and to get involved in le…+.
Customers including Italian wine retailer Wineverse, Brazilian bank Banco Santander and French retailer Schiever sought to increase customer insights andreduce operational costs with SAS Visual Analytics.
SAS Visual Analytics provides a complete platform for analytics visualization, enabling you to identify patterns and relationships in data that weren't initially evident.
What I liked is the fact that they provide users with the features like designing their own stunning ads and publishingthem also, good heavy quality traffic for their sites, and multi-aspect visual analytics.
SAS Visual Analytics provides a complete platform for analytics visualization, enabling the identification of patterns and relationships in data that were not initially evident.
Kinetica can help researchers use algorithmic techniques such as machine learning, deep learning, and natural language processing(NLP)with easy-to-use visual analytics tools to interactively run thousands of simulations across complex data sets.
So, Eurosport Cube allows you to receive visual analytics, and our experts will share their first-hand information, simply and clearly explaining complex sports equipment,- said Peter Hutton, CEO of Eurosport.
Visual analytics turns large and complex, data sets into interactive visualisations that can prompt visceral comprehension and moments of insight that are compelling and offer an unparalleled richness of possibility for data analysts.