A micromort is one in a million chance of dying - it is equivalent to tossing 20 coins and getting 20 heads

Jeremy Yoder’s code for a simple Gantt chart on the Molecular Ecologist blog uses geom_line and gather to prepare the data structure. I like using geom_linerange and a coord_flip, which lets you use start and end columns directly without pivoting. Here is a very serious data ...

Introduction I am preparing a manuscript for submission to a scientific journal and decided to compose it in $\LaTeX$ using Overleaf. While Overleaf, an online $\LaTeX$ editor, has many collaboration features (including live, multi-person editing and review) many people, namely my PI, dislikes both $\LaTeX$ nor Overleaf, and instead prefers ...

Introduction I am preparing a manuscript for submission to a scientific journal and decided to compose it in $\LaTeX$ using Overleaf. While Overleaf, an online $\LaTeX$ editor, has many collaboration features (including live, multi-person editing and review) many people, namely my PI, dislikes both $\LaTeX$ nor Overleaf, and instead prefers ...

In August 2019 I sent a tweet asking if there any R enthusiasts in Skopje. The tweet got some attention (8 Retweets, 22 Likes) and encouraged us to have our on September 3rd we had our first event on September 3rd in the Skopje Hacklab KIKA. We’v...

R notebooks for nnetsauce, a general purpose tool for Statistical/Machine Learning

tl;dr Using a Naïve Bayesian classifier and a dataset of 1515 video game ratings, I am predicting which developer is most likely to make a game with specific properties (metascore, ESRB rating, genre, platform) in the future. Naïve Bayesian learning A Naïve Bayes classifier is a very ...

Autoencoders is an unsupervised version of neural network that is used for data encoding. This technique is mainly used to learn the representation of data that can be used for dimensionality reduction by training network to ignore noise. Autoencoders play an important role in unsupervised learning and deep architectures mainly ...

Autoencoders is an unsupervised version of neural network that is used for data encoding. This technique is mainly used to learn the representation of data that can be used for dimensionality reduction by training network to ignore noise. Autoencoders play an important role in unsupervised learning and deep architectures mainly ...

In addition to a structured preparation and organization of data and analysis results, flexibility and dynamics are extremely important in the field of data science. In order to gain insights from data, they often have to be explored first. Ideally, the barrier to visualizing and exploring data is relatively low ...