Presented By O’Reilly and Intel AI
Put AI to Work
April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY

Scaling your data science experiments from Jupyter notebooks to 6,000 GPUs

Arshak Navruzyan (Sentient Technologies)
1:45pm–2:25pm Tuesday, May 1, 2018
Models and Methods
Location: Sutton North/Center
Average rating: ***..
(3.50, 2 ratings)

Who is this presentation for?

  • Data scientists, machine learning practitioners, and academics

Prerequisite knowledge

  • A basic understanding of Keras, TensorFlow, scikit-learn, or PyTorch

What you'll learn

  • Explore best practices for scaling your data science experiments


Data scientists and machine learning professionals face a quandary of choices when trying to figure out how to scale their data science experiments, from deciding what tools to use (Keras, TensorFlow, scikit-learn, PyTorch, etc.) and the best ways to share models with customers and partners to managing cost efficiently. Arshak Navruzyan details the landscape of available options and explains how to make best use of the free and open source tools available.

Topics include:

  • Setting up the best ML test environment for the problem you’re trying to solve
  • How to run experiments locally, remotely, or in the cloud
  • Tips for monitoring and organizing experiments
  • A cost-efficient way to spin up compute
  • The best model libraries to use and for what
  • The best ways to manage artifacts and perform hyperparameter search
Photo of Arshak Navruzyan

Arshak Navruzyan

Sentient Technologies

Arshak Navruzyan is chief technology officer at Sentient, where he is responsible for leading the engineering direction and vision for Sentient’s core distributed artificial intelligence (DAI) platform and leads the data science team in support of Sentient’s intelligent commerce offerings and trading for Sentient Investment Management. Arshak has delivered AI solutions for multibillion dollar quantitative hedge funds, venture-funded startups, and some of the largest telecoms in the world. Previously, he held technology leadership roles at Argyle Data, Alpine Data Labs, and Endeca/Oracle. He’s also the founder of Fellowship.AI, a machine learning fellowship program.