This is a similar question like the Statistics Conferences question at CrossValidated
What are the most significant annual Data Science conferences?
Rules:
Topic community
Category Data Science
DataSciCon.Tech
This is a 3-day developer-focused conference in Atlanta USA in November/December
Full-day workshops on: Data Science for Discovery, Innovation, and Value Creation Data Science with R Workshop Introduction to Machine Learning with Python and TensorFlow Data Analytics with Tableau
Followed by 2 days with deep dive content in 4 tracks on topics such as: Data Science, Data Analytics, Artificial Intelligence, Machine Learning, Deep Learning, Big Data, Data Visualisation, and Deep Learning.
Have a look at :
http://www.kdnuggets.com/meetings/
It has a list of conferences and meetings of Data Science split by each month.
Disclosure: This message is posted by The Data Science Conference® team.
If the idea of a no-sponsor, no-vendor, no-recruiter data science conference is appealing to you, The Data Science Conference® might be a good option.
Data science is still a domain in fusion, borrowing from neighboring fields.
A recent interesting contender is DSAA, "IEEE International Conference on Data Science and Advanced Analytics". The first edition (DSAA 2014) held in Shanghai. The second DSAA 2015 was in Paris, the DSAA 2016 edition is announced in Montreal, Canada, on October 17-19, 2016.
Nuit Blanche recently anounced the PCMI Summer school "The mathematics of data", June-July 2016, Midway, Utah, USA.
Other related conferences and workshops are:
Just went to this one last week (Open Data Science Conference): http://odsc.com/
It was really enjoyable. Heavy focus on open source technologies. Speakers from high profile (within the community) projects. And they have posted a lot of the videos from it too.
Playlist of the talk video.
Startup.ml conference has had a couple good conferences. The talks are done by experts in the field and I found more technical and practical than other conferences.
Strata + Hadoop World by O'Reilly
DataEDGE by Berkeley School of Information. Link to the videos.
PASS Analytics - The Professional Association for SQL Server has an analytics focused conference. While some of the conference tracks may not be for highly qualified data scientists, many are specifically relevant as Microsoft continues to support Hadoop and integrates R into SQL Server among many other things.
Whether you’re just starting out in the data analytics field, are a data pro who sees the value in expanding your skillset, or are a seasoned business analytics pro, the PASS Business Analytics Conference is the place to be.
PyData - talks about Python Data tools
Link: http://pydata.org/events/
There is one PyData conference on the east coast and one on the west coast each year.
NIPS - Neural Information Processing Systems (NIPS)
Link: https://nips.cc/
This is one of the hardest / most prestigious academic Machine Learning conferences to get an abstract / poster accepted.
The 5th International Workshop on Parallel and Distributed Computing for Large Scale Machine Learning and Big Data Analytics (IEEE IPDPS 2016)
Link: http://parlearning.ecs.fullerton.edu/
This one is also an academic conference with paper submission.
Note: I am not sure if you want academic or nor academic conferences (have conference proceedings / papers associated with the conference). Some conferences are not about new data science methodologies but the tools and libraries (e.g. PyData) that implement existing methodologies. Also, data science is very broad and includes Stat, Machine Learning and data warehousing / mining etc.
Lots of nice conferences already mentioned by the existing answers. Here are some which I think deserve a place in the top conferences list:
Purpose of the conference:
MLconf gathers communities to discuss the recent research and application of Algorithms, Tools, and Platforms to solve the hard problems that exist within organizing and analyzing massive and noisy data sets.
Purpose:
The BayLearn Symposium aims at gathering scientists in machine learning from the San Francisco Bay Area. While it promotes community building between local researchers from academic and industrial institutions, it also welcomes visitors. This one-day event combines invited talks and posters to foster exchange of ideas.
The Fifth Elephant is a community-powered conference on the big data ecosystem, covering the technology and its applications in a range of industries.
Annual UseR! conference:
Data lead has an annual conference. Last year in the US, this year in Paris:
H2O has a conference H2O world
Since Data Science is a very broad subject:
Effective applications of the R language:
Strata + Hadoop World:
Joint Statistical Meetings:
And of course your local meetups
My favorites ones are Wrangle, Spark Summit and ampcamp.
Wrangle is a new, single-day, single-track industry event about the principles, practice, and application of Data Science, across multiple data-rich industries. It includes talks from data scientists from companies like Salesforce, Pinterest, Facebook, and Uber about the hardest problems they've faced, and the solutions they found for them. If you're a practicing Data Scientist, Wrangle is for you!
spark-summit. DATA SCIENCE AND ENGINEERING AT SCALE
AMP Camps are Big Data training events organized by the UC Berkeley AMPLab about big data analytics, machine learning, and popular open-source software projects produced by the AMPLab. All AMP Camp curricula, and whenever possible videos of instructional talks presented at AMP Camps, are published here and accessible for free.
ACM KDD is the top conference for both industry and academia.
Last time it took place in Sydney. Have a look to the program and participants.
Annual Wolfram Technology Conference.
Technical training, analysis topics on a wide range of industries, software development, curated data, on so on.
Geeks Mental is a community that publishes articles and tutorials about Web, Android, Data Science, new techniques and Linux security.