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Introduction to Deep Learning with Keras, Tensorflow and Scikit-Learn

April 29 @ 9:00 am - 4:00 pm

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This event is co-hosted by: CrowdFlower and Galvanize

About the Workshop:

Machine learning and especially deep learning is rapidly becoming prevalent in products we use every day. Scikit-learn is a fantastic toolkit to get started on making real world models in Python. It’s powerful and very easy to deploy. The best part of Scikit-learn for those who aren’t very strong in mathematics is that no math background is necessary.

Once we build some traditional models, we’ll move on to keras and tensorflow, excellent tools for doing deep learning.  We’ll build a few deep learning models to classify images and explore how they work.

Lukas Biewald and Nick Gaylord will jointly conduct this workshop. Lukas and Nick will cover the basic types of machine learning techniques, provide examples of real world applications and towards the end of the session, you will build some models together!

Schedule:

9 a.m. – 10 p.m.: Laptop setup

10 p.m. – 12 p.m.:  Machine Learning with Scikit Learn

12 p.m. – 1 p.m.: Q&A, Pizza, Networking

1p.m. – 4 p.m.: Deep Learning with Keras

About the Teachers:

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Lukas is Chief Data Scientist and Founder of CrowdFlower. He has worked as a Senior Scientist and Manager within the Ranking and Management Team at Powerset, Inc., a natural language search technology company later acquired by Microsoft, and also led the Search Relevance Team for Yahoo! Japan. He graduated from Stanford University with a B.S. in Math and an M.S. in Computer Science. For more information about Lukas, please visit his LinkedIn profile, or follow him on Twitter.

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Nick is CrowdFlower’s Senior Data Scientist, where he primarily works on our machine learning offering, CrowdFlower AI. Prior to CrowdFlower, Nick was a data scientist at SF text analytics startup Idibon. He has a PhD from the University of Texas at Austin, where his research focused on human language comprehension and the construction of datasets for NLP applications. For more information about Nick, please visit his LinkedIn profile, or follow him on Twitter.

About Galvanize:

Galvanize is the premiere dynamic learning community for technology. With campuses located in booming technology sectors throughout the country, Galvanize provides a community for each the following:

  • Education – part-time and full-time training in web development, data science, and data engineering
  • Workspace – whether you’re a freelancer, startup, or established business, we provide beautiful spaces with a community dedicated to support your company’s growth
  • Networking – events in the tech industry happen constantly in our campuses, ranging from popular Meetups to multi-day international conferences

To learn more about Galvanize, visit galvanize.com.

Details

Date:
April 29
Time:
9:00 am - 4:00 pm

Venue

Galvanize San Francisco
44 Tehama Street
San Francisco, CA 94105 US