MLconf 2015 - Second NYC-based Machine Learning Conference

Second NYC-based Machine Learning Conference, on 3/27/2015. We're having some of last year's favorite speakers do encore talks, as well as inviting new speakers from industry and research. Send us 150-200 words with your recent work in Machine Learning/Data Science. The deadline is January 15th 2015.
Typical topics include: Case studies related to solving a specific problem, challenges with data, algorithms used, process(es) followed. What worked, what didn't work.. For example- An algorithm or a set of algorithms that in your experience work, are scalable, promising, etc. Successful presentations have been simple and easy to digest. Platform companies, typically present the architecture of their software, what kind of problems it can solve and what type of problems it cannot solve, why it works, benchmarks, etc.. See previous talks at mlconf.com for an idea of MLconf talks.
Topics of interest are:
Platforms, tools and software
Success stories of machine learning algorithms with high impact (Deep Learning, Graphical Models, Matrix/Tensor Factorization, Probabilistic Programing, Graph Algorithms, Gaussian Processes, etc.)
Data science case studies
Innovative business processes for integrating machine learning methods in products
Agile methods for machine learning modeling
Pushing machine learning models in to production
Scalable methods in machine learning
Talks should include anything that would be of particular interest to machine learning practitioners. We encourage you to visit the abstract pages of past events to get an idea about the technical depth and style of successful MLconf presentations.
MLconf will include a session for 3 minute spot-light presentations. A spot-light talk will answer a machine learning question such as “When do I use zero mean/unit variance normalization in my data?”, “Singular Value Decomposition or Nonnegative Matrix Factorizattion?”, “When does the gaussian data assumption Fail?”, “Which distribution do I use for sparse data?”, etc. Speakers are encouraged to submit a maximum 5 slide pdf at nyc-2015-submission-AT-mlconf.com. The presentations with the highest review score will be selected for live presentations on the day of the event and the rest will be videotaped and uploaded at the MLconf website.