Kalina Borkiewicz,A. J. Christensen
Stunning images and videos created by visualization specialists in the NASA Advanceed Supercomputing (NAS) Divsion at NASA Ames Research Center.
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Scientific illustrations that bring cutting edge research to life
This subject exposes students to a variety of visualization techniques so that they learn to understand the work involved in producing them and to critically assess the power and limits of each. Students concentrate on areas where visualizations are crucial for meaning making and data production. Drawing on scholarship in science and technology studies on visualization, critical art theory, and core discussions in science and engineering, students work through a series of case studies in order to become better readers and producers of visualizations.
Scientific Visualization Gallery - Texas Advanced Computing Center
From Southern California, this design studio infuses client and personal work alike with a decidedly clean visual language.
Learn how seven Python data visualization libraries can be used together to perform exploratory data analysis and aid in data viz tasks.
Wrapping your brain around data online can be challenging, especially when dealing with huge volumes of information.
This list is an overview of 10 interdisciplinary Python data visualization libraries including matplotlib, Seaborn, Plotly, Bokeh, pygal, geoplotlib, & more.
Zooming into an Instagram City: Reading the local through social media
One of the 2013's projects for Radius Digital Science
Studio Lindalu offers illustrations and graphic designs that convey information and visualise ideas in the fields of business, science and art. Together with you, Studio Lindalu analyses your request and offers you solutions and produ
As a data-driven science, genomics largely utilizes machine learning to capture dependencies in data and derive novel biological hypotheses. However, the ability to extract new insights from the exponentially increasing volume of genomics data requires more expressive machine learning models. By effectively leveraging large data sets, deep learning has transformed fields such as computer vision and natural language processing. Now, it is becoming the method of choice for many genomics modelling tasks, including predicting the impact of genetic variation on gene regulatory mechanisms such as DNA accessibility and splicing. This Review describes different deep learning techniques and how they can be applied to extract biologically relevant information from large, complex genomic data sets.
The Greenland Ice Sheet is the second-largest body of ice on Earth. It covers an area about five times the size of New York State and Kansas com
In this article, we’ll explore why Python has become the go-to language for scientific data analysis, and how you can leverage it to conduct cutting-edge research. Scientific Data Analysis and Visualization with Python
In this post, I walk through how to build and train an neural translation model with attention. This model will be used to translate French to English. This post will focus on the conceptual…
Sometimes social networks visualizations look so damn complicated. I at least tend to look at where the graph is busiest, and sort of intuitively conclude that that node is the most important one. There must be a better way, right? Of course there is--why else would I pose such an obviously rhetorical question? (damn it.…
