Yep. And it’s a big one. There is a general consensus that when we talk about open data we are referring to any piece of data or content that is free to access, use, r...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, c...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, c...
The positive reactions on my last post: “Different kinds of loops in R” lead me to compare some different versions of loops in R, RCPP (C++ integration of R). To see ...
Since the start of the renaissance era, technology started to take over the lives of the humans and to gown to greater heights in the coming decade with completely replac...
How to implement supporting data-quality-maintenance-systems using AI? How to find out which method performs best? Is it possible to further improve the results? How to t...
“The thinking in AI has changed from ‘What’s possible?’ to ‘How do I do this?’” explains Rafiq Ajani at McKinsey educational AI forum. Natural Language Proc...
Python is the most loved, dreaded, and wanted programming languages by most developers, according to StackOverflow survey. Popular among most professional software deve...
Machine learning algorithms are extremely computationally intensive and time consuming when they must be trained on large amounts of data. Typical processors are not opti...
Data science is a growing and promising discipline that has impacted various domains, including higher education. Owing to its ability to use precise methods and platform...