Keynotes:
Graphons and Machine Learning: Modeling and Estimation of Sparse Massive Networks ( Jennifer Chayes: Distinguished Scientist and Managing Director / Microsoft Research)
People, Computers, and The Hot Mess of Real Data (Joe Hellerstein: Professor / University of California, Berkeley)
A VC View of Investing in ML (Greg Papadopoulos: Venture Partner / NEA)
The Evolving Meaning of Information Security (Whitfield Diffie: Center for International Security and Cooperation / Stanford University)
Learning to learn and compositionality with deep recurrent neural networks (Nando de Freitas: Professor / Oxford University / Google DeepMind)
The Applied Data Science Invited Talks:
Can You Teach The Elephant To Dance? AKA: Culture Eats Data Science for Breakfast (Jonathan Becher: Chief Digital Officer / SAP)
Large-Scale Machine Learning at Verizon: Theory and Applications (Jeff Stribling: Associate Director of Product Management, / Verizon)
Computational Social Science: Exciting Progress and Future Challenges (Duncan Watts: Principal Researcher / Microsoft)
Bayesian Optimization and Embedded Learning Systems (Jeff Schneider: Engineering Lead / Uber Advanced Technology Center)
The Wisdom of Crowds: Best Practices for Data Prep & Machine Learning derived from Millions of Data Science Workflows (Ingo Mierswa: Founder and President / RapidMiner)
How Machine Learning has Finally Solved Wanamaker’s Dilemma (Oliver Downs: Chief Scientist and CTO / Amplero)
Accelerating the Race to Autonomous Cars (Danny Shapiro: Senior Director of Automotive / NVIDIA)
Building User Profiles from Online Social Behaviors, with Applications in Tencent Social Ads (Ching Law: GM Social Ads / Tencent)
Learning Sparse Models at Scale (Ralf Herbrich: Director of Machine Learning / Amazon)
It’s About Time (Caitlin Smallwood: Vice President of Science and Algorithms / Netflix)
The Dirty Little Secret of Enterprise Data (Andy Palmer: Co-Founder & CEO / Tamr, Inc.)
Democratizing Consumer Identity: Data Science’s Answer to Facebook and Google (Kamakshi Sivaramakrishnan & Randell Cotta: Founder & CEO and Senior Data Scientist / Drawbridge)
The Applied Data Science Invited Panels :
Big Data Needs Big Dreamers: Lessons from successful Big Data investors (Moderator: Evangelos Simoudis: Managing Partner / Synapse Partners)
BigData Tools and Solutions: The Myths and the Reality (Moderator: Usama Fayyad: Chief Data Officer and Group Managing Director / Barclays)
Building Recommender Systems using Photon ML , August 15 (Organizers: Xianxing Zhang / LinkedIn, Deepak Agarwal / LinkedIn, Bee-Chung Chen / LinkedIn, Paul Ogilvie / LinkedIn)
Big Natural Language Data Processing , August 15 (Organizers: Gabor Melli / OpenGov, Inc., Matt Seal / OpenGov, Inc.)
MXNet , August 15 (Organizers: Mu Li / CMU, Tianqi Chen / UW)
Introduction to Spark 2.0, August 15 (Organizers: Michael Armbrust / Databricks, Doug Bateman / Databricks, Reynold Xin / Databricks, Matei Zaharia / Databricks)
Getting Started with Amazon Web Services Bootcamp, August 16 (Organizers: Androski Spicer / AWS Solution Architect, Ujjwal Ratan / AWS Solution Architect, Jack Hemion / AWS Solution Architect)
CNTK—Microsoft’s open-source deep-learning toolkit, August 16 (Organizers: Frank Seide / Microsoft, Amit Agarwal / Microsoft)
Streaming Analytics, August 17 (Organizer: Ashish Gupta / LinkedIn)
Scalable R on Spark, August 17 (Organizers: John-Mark Agosta / Microsoft, Debraj GuhaThakurta / Microsoft, Robert Horton / Microsoft, Mario Inchiosa / Microsoft, Srini Kumar / Microsoft, Vanja Paunic / Microsoft, Hang Zhang / Microsoft, Mengyue Zhao / Microsoft)