Category: Data Science

Author: ajit jaokar Last week, I taught a cybersecurity course at the University of Oxford case. I created a case study for my class based […] Read More

Author: Matt Mayo Editor Thriving as a data professional is about more than just making good money! It’s about FULFILLMENT & IMPACT. In this article, […] Read More

Author: Amit Dogra So even before we put forward and present a case for AWS, why it should be used and most importantly the staggering […] Read More

Author: Matt Mayo Editor Edge cases occur for three basic reasons: Bias – the ML system is too ‘simple’; Variance – the ML system is […] Read More

Author: McKenzie Foley For many organizations, data is a business asset that’s owned by the IT department. Based on this ‘data ownership’ model, there’s limited […] Read More

Author: Matt Mayo Editor At Uber, where ML is fundamental to most products, a mechanism to manage offline experiments easily is needed to improve developer […] Read More

Author: Steven Ramirez It is more important than ever to retain customers. Success often relies on having a deep understanding of your customers across every […] Read More

Author: Gregory PS Editor Whether you are getting started with Data Science / Machine Learning or are an experienced professional looking to learn something new, […] Read More

Author: Matt Mayo Editor Also: Top 3 Statistical Paradoxes in Data Science; A/B Testing: 7 Common Questions and Answers in Data Science Interviews, Part 2; […] Read More

Author: Vincent Granville Here some off-the-beaten-path options to consider, when looking for a first job, a new job or extra income by leveraging your machine […] Read More