TensorFlow Extended (TFX): Machine Learning Pipelines and Model Understanding (Google I/O’19)

This talk will focus on creating a production machine learning pipeline using TFX. Using TFX developers can implement machine learning pipelines capable of processing large datasets for both modeling and inference. In addition to data wrangling and feature engineering over large datasets, TFX enables detailed model analysis and versioning. The talk will focus on implementing […]

Read More TensorFlow Extended (TFX): Machine Learning Pipelines and Model Understanding (Google I/O’19)
June 28th, 2019

Google: The Anatomy of a Production-Scale Continuously-Training Machine Learning Platform

Creating and maintaining a platform for reliably producing and deploying machine learning models requires careful orchestration of many components—-a learner for generating models based on training data, modules for analyzing and validating both data as well as models, and finally infrastructure for serving models in production. This becomes particularly challenging when data changes over time […]

Read More Google: The Anatomy of a Production-Scale Continuously-Training Machine Learning Platform
June 28th, 2019