Science Blogs
Blogs, magazines, and articles, mostly science and research related.
473 listings
Submitted Dec 21, 2016 to Science Blogs My name is Adi Khen and I’m a PhD student at the Scripps Institution of Oceanography at UC San Diego. I LOVE sea hares (Aplysia californica), drawing, and benthic ecology image analysis.
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Submitted Dec 21, 2016 to Science Blogs A community of Earth and space science blogs, hosted by the American Geophysical Union.
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Submitted Dec 21, 2016 to Science Blogs A blog about geoscience research and teaching by Laura Guertin, a Professor of Earth Science at Penn State Brandywine in Media, PA.
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Submitted Dec 21, 2016 to Science Blogs A cool blog post explaining machine learning with interactive graphics.
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Submitted Dec 21, 2016 to Science Blogs Writings about data science, from the makers of Dataquest.io.
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Submitted Dec 21, 2016 to Science Blogs First, I’d like to say that I thoroughly enjoyed the the Advances in Approximate Bayesian Inference workshop at NIPS 2016 — great job Dustin Tran et al. An awesome poster (with a memorable name) from Geoffrey Roeder, Yuhai Wu, and David Duvenaud probed an important, but typically undiscussed choice that practitioners have to make when doing black-box variational inference with the pathwise gradient estimators1. This post describes the phenomenon that they point out. I will try to provide some additional intuition through wordy prose and a numerical experiment on a simple example.
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Submitted Dec 20, 2016 to Science Blogs I love puns. And when I heard Mark Hanson and Ben Rubin’s talk at the Eyeo Festival where they discussed different ways to do text analysis (ie: text as a spatial representation of the intangible), I was drawn to it. Immediately after, I thought “what body of text would mean the most to me at this point in my life?”
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Submitted Dec 20, 2016 to Science Blogs Keep tabs on what Stack Overflow's engineering team does to keep the world's largest developer community up and running.
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Submitted Dec 20, 2016 (Edited Dec 20, 2016) to Science Blogs Daily news about using open source R for big data analysis, predictive modeling, data science, and visualization since 2008.
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Submitted Dec 19, 2016 to Science Blogs I learned many things about AI and machine learning at the NIPS 2016 conference. Here are a few that are particularly suited to being communicated in the space of a few sentences.
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Submitted Dec 19, 2016 to Science Blogs Thoughts and comments across the boundaries of computing, ancient history, epigraphy and geography ... oh, and barbeque, coffee and rockets.
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Submitted Dec 19, 2016 to Science Blogs This course introduced social networks, network modeling, and critically engaged the literature and history of conspiracy theories.
After proposing a conspiracy (real or imaginary) for study, the students produced a traditional class paper, then used Gephi in conjunction with the Sigmajs Exporter to create interactive networks of their research. The students then uploaded the results to individual GitHub pages. The results are collected here – I hope you enjoy the student projects and recognize the hard work and effort put in to their realization! N.B. – When browsing student networks, be sure to click on the “More about this visualisation” link to learn more about individual projects. |
Submitted Dec 10, 2016 to Science Blogs Doug Hellmann has been programming in Python since version 1.4, and has worked on a variety of Unix and non-Unix platforms for projects in fields such as mapping, medical news publishing, banking, and data center automation. His blog covers useful Python "modules of the week," long form posts, and presentation materials from talks, including slides and videos.
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Submitted Dec 09, 2016 to Science Blogs Part 5 in a series on artificial neural networks. This tutorial will cover how to build a matrix-based neural network. It builds heavily off of the theory in Part 4 of this series, so make sure you understand the math there! Written by Brian Dolhansky.
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Submitted Dec 09, 2016 to Science Blogs A good article on how to derive the gradients for backpropagation for a neural network with two hidden units. Written by Brian Dolhansky.
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Submitted Dec 07, 2016 to Science Blogs Thanks to an ever-increasing volume of media content flooding the web, paired with advances in natural language processing and text analysis capabilities, we are in a position to delve deeper into these questions than ever before, and by analyzing the final sixty days of the 2016 US Presidential election, that’s exactly what we set out to do.
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Submitted Dec 05, 2016 to Science Blogs “Pleonid” is an algorithmic composition for quintet premiered in May 2012. It is generated, arranged and scored entirely by software. This paper describes the largely generative methods employed, including a novel re-working of the “Tone Clock” by Peter Schat, as well as a new use of braids as both a motif- and counterpoint-generating techique.
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