October 28–31, 2019
Hamel Husain

Hamel Husain
Data Scientist, GitHub


Hamel Husain is a data scientist at GitHub who is focused on creating the next generation of developer tools powered by machine learning. His work involves extensive use of natural language and deep learning techniques to extract features from code and text. Previously, Hamel was a data scientist at Airbnb, where he worked on growth marketing, and at DataRobot, where he helped build automated machine learning tools for data scientists. Hamel can be reached on Twitter.


11:00am11:40am Wednesday, October 30, 2019
Location: Grand Ballroom A/B
Hamel Husain (GitHub), Omoju Miller (GitHub), Michal Jastrzebski (GitHub), Jeremy Lewi (Google)
Average rating: ****.
(4.50, 2 ratings)
Software development is central to machine learning, regardless of if you're prototyping in a Jupyter notebook or building a service for millions of users. Hamel Husain, Omoju Miller, Michał Jastrzębski, and Jeremy Lewi show you how to use a freely available, natural language dataset to build practical applications for anyone who writes software using TensorFlow. Read more.
  • O'Reilly
  • TensorFlow
  • Google Cloud
  • IBM
  • Databricks
  • Tensor Networks
  • VMware
  • Amazon Web Services
  • One Convergence
  • Quantiphi
  • Lambda Labs
  • Tech Mahindra
  • cnvrg.io
  • Determined AI
  • Inferencery
  • Manceps, Inc.
  • PerceptiLabs
  • Valohai

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