Machine Learning at Scale

Explore the challenges and solutions for implementing machine learning at scale in this 43-minute Devoxx conference talk. Dive into the complexities of handling large volumes of data and running machine learning across multiple machines in cloud-native environments. Learn how to move from source data to insights using Tensorflow to build and train a machine learning model in the cloud. Discover techniques for deploying trained models to make them accessible to end users. Gain valuable insights into operating machine learning in production environments, with a focus on scalable solutions. While basic understanding of machine learning is beneficial, developers and technologists of all levels will find practical knowledge in this comprehensive overview of large-scale machine learning implementation.

Machine Learning at Scale by Yufeng Guo