Track:

Deep Learning Applications & Practices

Day of week: Wednesday

Deep learning lessons using Tensorflow, Keras, PyTorch, Caffe across machine translation, computer vision.

Track Host:
Soups Ranjan
Director of Data Science @Coinbase

Soups Ranjan is the Director of Data Science at Coinbase, one the largest bitcoin exchanges in the world. He manages the Risk & Data Science team that is chartered with preventing avoidable losses to the company due to payment fraud or account takeovers. Soups has a PhD in ECE on network security from Rice University. He has previously led the development of Machine Learning pipelines to improve performance advertising at Yelp and Flurry. He is the founder of RiskSalon.org, a round-table forum for risk professionals in San Francisco to share ideas on stopping bad actors.


by Eric Horesnyi
CEO @streamdataio

Presentation details will be available soon.


by Mike Lee Williams
Director of Research @FastForwardLabs

Each talk at QCon is hand-selected by our track hosts. We are currently discussing potential speakers for this track.


Each talk at QCon is hand-selected by our track hosts. We are currently discussing potential speakers for this track.


Each talk at QCon is hand-selected by our track hosts. We are currently discussing potential speakers for this track.


Each talk at QCon is hand-selected by our track hosts. We are currently discussing potential speakers for this track.


Each talk at QCon is hand-selected by our track hosts. We are currently discussing potential speakers for this track.


Each talk at QCon is hand-selected by our track hosts. We are currently discussing potential speakers for this track.


Each talk at QCon is hand-selected by our track hosts. We are currently discussing potential speakers for this track.

Tracks

  • ML in Action

    Applied track demonstrating how to train, score, and handle common machine learning use cases, including heavy concentration in the space of security and fraud

  • Real-world Data Engineering

    Showcasing DataEng tech and highlighting the strengths of each in real-world applications.