Next Meetup

[FREE PASS] MLconf SF - Wed, Nov 14th - Register @ https://community.pipeline.ai
To be eligible for a FREE pass to the upcoming MLConf SF Conference: 1) Star our GitHub Repo: https://github.com/PipelineAI/pipeline 2) Register for PipelineAI Community Edition: https://community.pipeline.ai The winners will be notified in a few days! Use this special code to save 20%: https://www.eventbrite.com/e/mlconf-sf-2018-tickets-45989163827?discount=chrisf More details below... Don't miss talks by leaders from Google, Facebook, Tesla, Uber & More! MLconf San Francisco will be on Wednesday, November 14th, at Hotel Nikko, SF. More details at https://mlconf.com/events/mlconf-sf-2018/ Confirmed Speakers Include: Been Kim, Research Scientist, Google Brain, Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Yevgeniy Vahlis, Head of Applied ML Research at Borealis AI: Differential Privacy in the Real World Franziska Bell, Senior Data Science Manager on the Platform Team, Uber: NL-use cases at Uber Yi Li, Machine Learning Research Scientist, Baidu: Using Deep Learning to Help Pathologists Find Tumors Ilke Demir, Postdoctoral Researcher, Facebook: Geospatial Machine Learning for Urban Development Michael Lindon, Senior Data Scientist, Tesla: When you’re going through hell, keep going: Using machine learning to deliver Tesla Model 3s Jerry Talton, Director of Data & Machine Learning, Carta Irina Rish, Researcher, the AI Foundations- Department of the IBM T.J. Watson Research Center Dr. Leslie Smith, Senior Research Scientist, US Naval Research Laboratory: Competition Winning Learning Rates Jeff McGehee, Sr. Data Scientist, Very: Adopting Software Design Practices for Better Machine Learning Prasanth Anbalagan, Sr. Software Engineer, RedHat: On Topic Modeling of Software Artifacts Forough Poursabzi-Sangdeh, Researcher, Microsoft Research: Design and Empirical Evaluation of Interactive and Interpretable Machine Learning Gopal Erinjippurath, Director, Analytics Engineering, Planet Inc: Large Scale datasets for Analytics on Satellite Imagery Joan Xiao, Lead Machine Learning Scientist, Figure Eight: Deep Learning for Product Title Summarization Displays: On Display at MLconf, Q&A During AM Break: Srividya Kannan Ramachandran, Marketing Science, Facebook; Aesthetics in Synthetic Art On Display at MLconf, Q&A During Lunch: Grishma Jena, Cognitive Software Engineer with the Data Science for Marketing Team, IBM Watson; Enterprise to Computer : Star Trek Chatbot On Display at MLconf, Q&A During Afternoon Break: Ivan Yamshchikov, Researcher, Max Planck Institute for Mathematics in the Sciences: Neurona. How we generated four new Kurt Cobain songs with RNN Use this special code to save 20%: https://www.eventbrite.com/e/mlconf-sf-2018-tickets-45989163827?discount=chrisf To be eligible for a FREE pass to the upcoming MLConf SF Conference: 1) Star our GitHub Repo: https://github.com/PipelineAI/pipeline 2) Register for PipelineAI Community Edition: https://community.pipeline.ai The winners will be notified in a few days!

Hotel Nikko San Francisco

222 Mason Street · San Francisco, CA

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