By Diogo Menezes Borges, Data Scientist.

Last month, I delivered the one-day workshop Practical AI for the Working Software Engineer at the Artificial Intelligence Live conference in Orlando. As the title suggests, the workshop was aimed at developers, bu I didn’t assume any particular programming language background. In addition to the lecture slides, the workshop was delivered as a series of Jupyter notebooks. I ran them using Azure Notebooks (which meant the participants had nothing to install and very little to set up), but you can run them in any Jupyter environment you like, as long as it has access to R and Python. You can download the notebooks and slides from this Github repository (and feedback is welcome there, too). 

Happy New Year from KDnuggets!

Adapted Boxplot to Missing Observations (IPWboxplot)Boxplots adapted to the happenstance of missing observations where drop-out probabilities can be given by the practitioner or modelled using auxiliary …

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At the last homework before Christmas I asked my students from DataVisTechniques to create a ,,Christmas style” data visualization in R or Python (based on simulated data).

Hockey, climate change, and mosquitos: Enjoy these new, intriguing and overlooked datasets and kernels

Niklas Elmqvist provides a detailed guide for finding and a visualization PhD program:

Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching