The book equips students with the end-to-end skills needed to do data science. That means
gathering, cleaning, preparing, and sharing data, then using statistical models to analyse …

Machine learning (ML) is often applied in use cases where training data evolves and/or
grows over time. Training must incorporate data changes for high model quality, however …

Economic and environmental objectives incentivize drilling wells faster, increasing the rate
of penetration (ROP). A prerequisite for ROP optimization is an accurate ROP model that …

Recently, researchers have seen promising results in using serverless computing for real-
time machine learning inference tasks. Several researchers have also used serverless for …