Other sessions related to Time Domain and AIAS at AAS 227
WGAASC Social Media Page
Facebook Groups
- Astroinformatics: This page is intended as a forum for discussion and information sharing in the general arena of astroinformatics. Post your thoughts, questions, links to articles or resources of interest to this group, etc.
- Astronomy with R: An `open group' in Facebook with ~1,800 members for discussion of the R statistical software system in astronomy. "Tell us about useful functions, plots, tricks and tips. All are welcome to join."
- Astrostatistics & Astroinformatics: Selected material from ASAIP provided through a Facebook page with ~500 Likes.
Other active blogs and web resources
- AstroPython: A community knowledge base for performing astronomy research with Python with lists of useful resources, a forum for general discussion, advice, or relevant news items, users' code snippets or scripts, and longer tutorials on specific topics. AstroPython is organized by a team with Thomas Robitaille, Gus Muench, Eli Bressert, Tom Aldcroft, and Prasanth Nair.
- awesome R: A curated list of awesome R frameworks, packages and software, by Qin Wenfeng.
- CosmoStat Laboratory: This organization at CEA-Saclay FR provides software, datasets, tutorials and monographs in advanced statistics and signal processing for cosmology. Methods include compressed sensing and sparsity, image deconvolution, Morphological Component Analysis, 3D curvelets, 3D spherical map analysis, CMB analysis, galaxy clustering/BAO analysis, and Population Monte Carlo.
- Another Astrostatistics Blog: The random musings of' statistician and astronomer Ewan Cameron, this active blog presents discussions of Bayesian methods, Monte Carlo methods, Gaussian Processes, nonparametric regression, and other topics in advanced methodology. Very sophisticated!
- Astronomy Computing Today: Includes scalable astronomy applications, cloud computing, software sustainability, and software project management, by astronomer and computer scientist Bruce Berriman
- Probably Overthinking It: Statistics blog on Bayesian analysis, Python and other topics, by author Allen Downey
- Revolutions: Open source R for big data analytics, predictive modeling, data science and more from the staff of Revolution Analytics.
- Flowing data: Stimulating blog and R-based tutorials exploring how designers, statisticians, and computer scientists are using data to understand ourselves better, mainly through data visualization, by Nathan Yau.
- international science grid this week: An international weekly online publication that covers distributed computing (grids and clouds) and the research it enables.
- Kaggle: Competitions in the sport of data science, Kaggle is an arena where you can match your data science skills against a global cadre of experts in statistics, mathematics, and machine learning
- MatLab Central: Collection of blogs on MatLab, by MathWorks experts
- Nuit Blanche: Focuses on compressive sensing, advanced matrix factorization techniques, and other ideas needed to handle and make sense of very high dimensional Big Data, by Texas A&M space engineer Igor Carron
- What's the Big Data?: A blog on Big Data with education and meeting listings, by senior consultant Gil Press. He is also a columnist with Forbes Magazine.
- Skysoft Astronomical software directory: Skysoft is a community-supported astronomical software database. Our goal is to be useful to both end-users and developers. We host all software kinds, from general data reduction packages, to specialized libraries, to small specific tools. Users and developers are invited to contribute with software news, user's views, comments and bugs notifications, and general astronomical news.
Sites too big to summarize, but a great resource to search
- Cross Validated: A very active question and answer site for statisticians, machine teachers, data analysts, data miners and data visualization experts operated through the Stack Exchange network of Q&A sites.
- KDnuggets: A resource site for data mining: This Web site provides a vast range of resources for data mining: software, jobs, companies, courses, webcasts, conferences, books, societies, and so forth. For example, see their blog entry `7 Steps for Learning Data Mining and Data Science'.
- Nabble R forum: A very large and active threaded discussion group on the R statistical programming environment, operated by Nabble.
- R-bloggers: R news and tutorials contributed by 400+ R bloggers, a blog aggregator by Israeli statistics student Tal Galili.
- StatsBlogs: The #1 statistics blog aggregator with >10,00 visitors daily with categories statistics, R, SAS, data visualization, data mining, Bayesian, and machine learning, by Talk Stats Forum.
- Stack Overflow: A large question and answer site for professional and enthusiast programmers. Tags include R, Python, and thousands more.