Every January, mighty crowds of electronics and IT professionals descend on Las-Vegas, Nevada to attend the annual Consumer Electronics Show. CES 2016 has just wrapped up...
This article was written by Bernard Marr. Almost everyone can agree that big data has taken the business world by storm, but what’s next? Will data continue to grow...
Data Science Central shared its predictions for 2016. More predictions can be found here. In this article, we share Scott Mongeau’s predictions. The full version ...
Model evaluation metrics are used to assess goodness of fit between model and data, to compare different models, in the context of model selection, and to predict how pre...
In the last post, we talked about how the open sourcing of machine learning algorithms and hardware architecture gives rise to the latest phenomenon of “Data is king”...
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 mont...
The full article about 51 expert tips for learning big data analytics was written by Molly Galetto. You can find 4 sections in this article. Big data is everywhere, and s...
This list of Data Science tools for people who aren’t so good at Programming was compiled by Aarshay Jain, from Analytics Vidhya. Programming is an integral part of da...
Bill Vorhies is Editorial Director for DataScienceCentral, and President and Chief Data Scientist at Data-Magnum, providing predictive analytics and big data infrastruct...
In April, Gil Press posted a list of top 10 hot big data technologies in Forbes Magazine. The technologies being featured as hot were: Predictive analytics NoSQL database...