Model deployment is perhaps the most important step in the ML cycle. We have spent a lot of time and effort playing around with different algorithms, training, and tuning our model parameters, so after evaluating its performance and obtaining that long-awaited score, it is time to release it and show our model to the world. However, the statistics show that 60% of the models never make it out into production, mainly because moving the model into a production environment is not simple and requires extra skills. This workshop will explore different deployment scenarios to release our ML into production using Tensorflow and GCP(Google Cloud Platform).
4:45 PM Doors Open & Registration to enter raffles
5:00 PM Welcome by Erisa Terolli, GDG Hoboken Lead and Women Techmakers Ambassador
5:05 PM Talk by Carolina Castro, Developer Relations Program Manager, Google
5:15 PM Workshop - Machine Learning models deployment in Google Cloud by Henry Ruiz
5:55 PM Win prizes in a raffle
6:00 PM Dinner and Social Hour
7:00 PM Event Ends
Machine Learning GDE
Developer Relations Program Manager
His research areas of interest are applied Geophysics, mathematical simulation, electromagnetism, computer graphics, signal processing, Machine Learning, and Deep Learning.