Carlo Fanara
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Data Science & ML
The Prediction of Flight Delays within the Data Science pipeline: Part I
This is the first of a series of posts dealing with a complete example of data analysis, starting from data gathering and finishing with the publication or dissemination of…
Jun 9, 2016
The Prediction of Flight Delays within the Data Science pipeline: introduction
Calm down: I am not saying I’ll predict the delay of the plane you just boarded (although someone might do…). I am just showing an example of a prediction problem which just…
Jun 6, 2016
What is the maths you really need in Data Science?
Highly debatable subject, especially because the job title “Data Scientist” is still fluid and it means different things to different people. Now, assume the term ‘Data’…
May 31, 2016
A Synopsis of R, Python and Matlab/Octave syntax
This work is NOT mine. It just points to a compilation of resources which are useful syntactical differences among popular scripting languages. It just happens that you may…
May 28, 2016
How to switch between data Structures
If you read this, perhaps it’s because you followed some tutorial about R, either here or elsewhere and probably, not being a professional programmer, you found the official…
May 16, 2016
The Data Consumer
Data
what?
May 12, 2016
Functions! (and their scoping)
In a previous post, we covered part of the R language control flow, the cycles or loop structures. In a subsequent one, we showed how to avoid ‘looping’ by means of…
May 9, 2016
R tutorial on the Apply family of functions
In a previous blog, we discussed one of the most important programming constructs, the loop, with its two major forms in R. Then we deprecated its use in favor of vectorized…
May 6, 2016
A Tutorial on Loops in R – Usage and Alternatives
In this easy-to-follow R tutorial on loops we will examine the constructs available in R for looping, and how to make use of R’s vectorization feature to perform your…
May 2, 2016
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