Data Science
Scaling Machine Learning at Uber with Michelangelo
This post was originally written by Jeremy Hermann & Mike Del Balso on Uber Engineering. Reposted with permission. In September 2017, we published an article
DataOps with Christopher Bergh
Every company with a large set of customers has a large set of data–whether that company is 5 years old or 50 years old. That data is valuable whether you are an insurance company,
An Overview of Jupyter Notebooks
Data is an important part of today’s software engineering ecosystem. The data that is collected by an individual or a company is not worth much unless it can be shared, distributed,
Deep Learning Hardware with Xin Wang
Training a deep learning model involves operations over tensors. A tensor is a multi-dimensional array of numbers. For several years, GPUs were used for these linear algebra
Machine Learning and Technical Debt with D. Sculley Holiday Repeat
Originally published November 17, 2015 “Changing anything changes everything.” Technical debt, referring to the compounding cost of changes to software architecture, can be