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Data Science Explained

A collection of 3 posts

Classification

What is precision vs recall, and why should I care?

What do these tasks all have in common? Looking at an X-ray and deciding whether someone’s leg is brokenScreening a CV for suitability for a job postIdentifying faces of terrorists in a crowdThey are all examples of classification tasks, where we need to make a binary yes/no decision.

  • Greg Detre
Greg Detre Nov 2, 2020 • 4 min read
Data Science

What is Machine Learning?

Machine learning algorithms are faced with the same challenge you had as a pupil at school. There’s going to be an exam. The higher you score the better, and you'll be given some exams from the past with answer sheets to study from.

  • Greg Detre
Greg Detre Sep 28, 2020 • 2 min read
Software

The Difference: Throughput vs Latency

Latency and Throughput are important concepts for data scientists. How are they distinct? And why is this distinction important, not just for technical systems, but also for team performance?

  • Greg Detre
Greg Detre Jul 13, 2020 • 1 min read
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