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 broken * Screening a CV for suitability for a job post * Identifying faces of terrorists in a crowd They are all examples of classification tasks, where we need to make a binary
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.
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?