Data Science

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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

Data Science Mindset with Zacharias Voulgaris

A company’s approach to data can make or break the business. In the past, data was static. There was not much data, it sat in Excel, and it was interacted with on a nightly or monthly