Past Meetup

[FREE PASS] MLconf SF - Wed, Nov 14th - Register @ https://community.pipeline.ai

This Meetup is past

79 people went

Hotel Nikko San Francisco

222 Mason Street · San Francisco, CA

How to find us

To be eligible, please 1) Star our GitHub Repo: https://github.com/PipelineAI/pipeline and 2) Register for PipelineAI Community Edition: https://community.pipeline.ai

Location image of event venue

Details

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!