Ever wondered how inverted music would sound like? Do you know what the original song is of this inverted song (and don’t look at the URL!)? In this post, some MIDI files are inverted and it is shown how you can invert a MIDI file yourself.
Personal Projects
This category contains posts about personal projects.
Losing weight efficiently using Data Science
End 2013: I would like to lose some weight. End 2014: Maybe I should start losing some weight. End 2015: I should definitely lose some weight. A few weeks ago: I need to lose weight. At that point and bought a book and read a lot of literature about this topic. I am following a low carbs diet and this resulted into a weight loss of 6 kg in the first 3 weeks! The key points are summarized in this post. My goal is to eventual apply some machine learning algorithms on the data I am currently collecting. If you tried a diet before or if you have collected some related data, please let me know. I will use it for the machine learning post on this topic. In this post I will summarize the key points from the literature and show some visualizations of the results so far.
Win with gambling: MAP estimation on a Bernoulli distribution
In this article, we will try to win a (fictive) lottery called Win-Win. In fact, you will learn how to do a MAP (maximum a posteriori) estimation on a Bernoulli distribution. Don’t worry if you don’t know all these words, everything will be explained. If you already know some of the terms, then you can skip these parts. (more…)
Data Mining with Python on Medical Datasets for Data Mining
The series “Data Mining with Python on Medical Datasets for Data Mining” is a series in which several data mining techniques are highlighted. The series are written in collaboration with John Snow Labs which provided me the medical datasets. In this article basic Text Mining techniques will be highlighted and some of the results are presented.
By the way, if you are interested in Deep Learning you should definitely read this article on implementing a GRU in Python using Tensorflow.
