Data Science: Conferences & Groups

"ACM, the world's largest educational and scientific computing society, delivers resources that advance computing as a science and a profession. ACM provides the computing field's premier Digital Library and serves its members and the computing profession with leading-edge publications, conferences, and career resources." (AMC)

"IRMA is an international organization dedicated to advancing the research community by bringing together researchers, practitioners, academicians, and policy makers in information technology management." (IRMA)

“IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.” (IEEE)

"SIAM fosters the development of applied mathematical and computational methodologies needed in various application areas. Applied mathematics, in partnership with computational science, is essential in solving many real-world problems. Through publications, research and community, the mission of SIAM is to build cooperation between mathematics and the worlds of science and technology." (SIAM)

Written by Ryan Swanstrom to share resources for learning data science. An excellent blog for learning about the field, the profession, and the tools.

"Data Science Central is the industry's online resource for data practitioners. From Statistics to Analytics to Machine Learning to AI, Data Science Central provides a community experience that includes a rich editorial platform, social interaction, forum-based support, plus the latest information on technology, tools, trends, and careers." (Data Science Central)

The blog of an "executive search firm specializing in recruiting Data Scientists, Advanced Analytics Pros, Marchine Learning Engineers, Data Engineers, Blockchain Engineers, Backend Software Engineers, and related Product Managers in the U.S." The site collects free courses, articles, books, videos, and TED Talks.

A news aggregator on Machine Learning. "Our editorial focus is big data, data science, AI, machine learning, and deep learning." (insideBIGDATA)

A blog about AI, Big Data, Data Science, and Machine Learning.

Statistics blog by three biostatistic professors: Rafa Irizarry, Roger Peng, and Jeff Leek. They "post items they find interesting, contribute to discussion of science/popular writing, link to articles that inspire them, and share advice with up-and-coming statisticians." (Simply Statistics)

Focused on how data science can intersect with business.

Gil Press writes about AI and big data.

A volunteer run forum with two goals:
"To inspire, connect, grow, and champion success of women in Big Data
To grow women representation in Big Data field > 25% by 2020"

Vendor consortium developing data mining standards.

The Office of Data Science Strategy (ODSS) leads implementation of the NIH Strategic Plan for Data Science through scientific, technical, and operational collaboration with the institutes, centers, and offices that comprise NIH.

A public working group “established together with the industry, academia and government to create a consensus-based extensible Big Data Interoperability Framework (NBDIF) which is a vendor-neutral, technology- and infrastructure-independent ecosystem.” (NIST)

Industry-oriented website that lists upcoming conferences and meetings