Machine Learning Explained - Making Data Mistakes

Making Data Mistakes

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Machine Learning Explained

A collection of 3 posts

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

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.

What is Overfitting?

Overfitting is a common problem in Machine Learning. But what does it actually mean? And why is it an important problem for Data Scientists to overcome?