Mark Hoogendoorn as co-author of the Springer 'Machine Learning for the Quantified Self'

Self-tracking has become part of the modern life-style, and the amount of data generated by these devices is so overwhelming that it is difficult to obtain useful insights from it. In the book "Machine Learning for the Quantified Self", Mark Hoogendoorn and Burkhardt Funk explain the complete loop on how to effectively apply machine learning techniques to self-tracking data.

10/12/2017 | 9:03 AM