October 28–31, 2019
Ankit Jain

Ankit Jain
Senior Research Scientist, Uber AI Labs


Ankit Jain is a senior research scientist at Uber AI Labs, the machine learning research arm of Uber. His work primarily involves the application of deep learning methods to a variety of Uber’s problems ranging from forecasting and food delivery to self-driving cars. Previously, he worked in variety of data science roles at Bank of America, Facebook, and other startups. He coauthored a book on machine learning titled TensorFlow Machine Learning Projects. Additionally, he’s been a featured speaker in many of the top AI conferences and universities across the US, including UC Berkeley and the O’Reilly AI Conference, among others. He earned his MS from UC Berkeley and BS from IIT Bombay (India).


4:10pm4:50pm Thursday, October 31, 2019
Location: Grand Ballroom A/B
Ankit Jain (Uber AI Labs), Piero Molino (Uber AI Labs)
Average rating: ****.
(4.67, 3 ratings)
Ankit Jain and Piero Molino detail how to generate better restaurant and dish recommendations in Uber Eats by learning entity embeddings using graph convolutional networks implemented in 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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