This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. The previous digest in this series...
Summary: Got a good AUC on your hold out data? Think that proves that it’s safe to put the model into production. This article shows you some of the pitfalls in t...
In this day and age, you can’t go a day without hearing terms such as “data science,” “big data,” or “analytics.” These terms have been thrown around to app...
Contributed by Jielei (Emma) Zhu. She takes the NYC Data Science Academy 12 week full time Data Science Bootcamp program from July 5th to September 22nd, 2016. This...
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 mont...
Key Features Put machine learning principles into practice to solve real-world problems Get to grips with Python’s impressive range of Machine Learning libraries an...
This article was originally posted here. It was written by Steven Scott, a Bayesian statistician interested in data augmentation methods and Markov chain Monte Carlo. ...
In my experience, some of the most talented analytics professionals I’ve managed were ones that had intimate knowledge of the system limitations required to meet custom...
Summary: Sensors that know how you feel? Sensors that want to change the way you feel? When did that happen and better yet how? We’re getting used to sensors f...
Aimed at practitioners The presentation is as non-mathematical as possible Includes many examples of the use of statistical functions in spreadsheets Employs a realistic ...