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20170301 – Business, Inspiration, Education Speakers Needed on 05/19/2017 for Seattle, Washington for 2017 MLconf SEA

GuestSpeakersWanted

05/19/2017
Seattle, Washington
2017 Machine Language Conference (MLconf) SEA


Preferred Meeting Topics:
Business, Inspiration, Education

Booking Deadline for Speaker: 03/01/2017

Demographic Mix of the Audience:
50% Male
50% Female

Age Group(s) Expected in Audience:
20-60

Number of Attendees Expected
100+

Special Details About This Meeting/Audience:

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.

MLconf is calling for speakers for 2017 events!

  • Algorithms that have graduated academic conferences such as NIPS, ICML, etc and have proven to be effective, robust and scalable in production
  • Novel data science practices, such as data transformations, new data sources, novel representations, etc
  • Machine Learning/AI case studies (Lessons learned), demonstrating challenges in the wild and how to handle them in a new way
  • New platforms, tools for machine learning. Emphasis should be given on the technical challenges, benchmarks and motivation for the development
  • New business practices, for managing, growing data science teams and expanding machine learning to new domains
  • Tutorials and novel ways of presenting and simplifying machine learning domains, including: deep learning, kernel methods, bayesian nonparametrics, tensor algebra, etc
  • Up and coming areas of machine learning that you think will dominate the industry in the future, such as probabilistic programming etc.

Topics we’re looking for:

  • Natural Language Processing
  • Deep Learning
  • Reinforcement Learning
  • Neural Turing Machines/Neural Theorem Provers
  • Generative Models
  • Probabilistic Programming
  • Probabilistic Logic and Reasoning
  • Chatbots/ ALL Bots
  • Bayesian Inference
  • One Shot Learning
  • Markov Logic Networks
  • Structure Learning
  • Synthetic Art, Biology
  • Ethics in Machine Learning
  • Sketching Randomized Algorithms
  • Game Theory
  • Community Detection
  • Large-Scale Clustering
  • Time Series
  • Image Analysis
  • Bayesian Non-Parametrics
  • Topic Models

 

Scope of the Overall Organization:
Local, National

Name of Meeting Organizer:
Courtney Burton

>> Click to Contact Courtney Burton >>

>> Click to Visit Speaker Submission Page >>

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