parallel computation and distributive storage, and thus gives the normal R user access to big data. PivotalR also provides the R wrapper for MADlib. MADlib is an open-source library for scalable in-database analytics. It provides data-parallel implementations of mathematical, statistical and machine-learning algorithms for structured and unstructured data. Thus PivotalR also enables the user to apply machine learning algorithms onto big data
Research in economic and Islamic fields are facing a major challenge in the surge of big data. The l...
Deep learning is currently an extremely active research area in machine learning and pattern recogni...
Today, mankind has an easier life due to the advancement of science. Machine learning is an example ...
MADlib is a free, open-source library of in-database analytic meth-ods. It provides an evolving suit...
ABSTRACT MADlib is a free, open source library of in-database analytic methods. It provides an evolv...
A Partial Review of Software for Big Data Statistics Big data brings challenges to even simple stat...
Abstract: Big Data has altered the adjustments in the period of information stockpiling and its exam...
This editorial is for the Special Issue of the journal Future Generation Computing Systems, consisti...
The requirement to perform complicated statistic analysis of big data by institutions of engineering...
It's tough to argue with R as a high-quality, cross-platform, open source statistical software produ...
Machine learning (ML) research often operates within silos, separate from the people who created the...
Machine learning algorithms use big data to learn future trends and predict them for businesses. Mac...
Recent advancements in the internet, social media, and internet of things (IoT) devices have signifi...
This dataset supports the article entitled "Machine Learning for Run-Time Energy Optimisation i...
The term “Big Data” refers to a proportion of dataset, which does not allow existing database manag...
Research in economic and Islamic fields are facing a major challenge in the surge of big data. The l...
Deep learning is currently an extremely active research area in machine learning and pattern recogni...
Today, mankind has an easier life due to the advancement of science. Machine learning is an example ...
MADlib is a free, open-source library of in-database analytic meth-ods. It provides an evolving suit...
ABSTRACT MADlib is a free, open source library of in-database analytic methods. It provides an evolv...
A Partial Review of Software for Big Data Statistics Big data brings challenges to even simple stat...
Abstract: Big Data has altered the adjustments in the period of information stockpiling and its exam...
This editorial is for the Special Issue of the journal Future Generation Computing Systems, consisti...
The requirement to perform complicated statistic analysis of big data by institutions of engineering...
It's tough to argue with R as a high-quality, cross-platform, open source statistical software produ...
Machine learning (ML) research often operates within silos, separate from the people who created the...
Machine learning algorithms use big data to learn future trends and predict them for businesses. Mac...
Recent advancements in the internet, social media, and internet of things (IoT) devices have signifi...
This dataset supports the article entitled "Machine Learning for Run-Time Energy Optimisation i...
The term “Big Data” refers to a proportion of dataset, which does not allow existing database manag...
Research in economic and Islamic fields are facing a major challenge in the surge of big data. The l...
Deep learning is currently an extremely active research area in machine learning and pattern recogni...
Today, mankind has an easier life due to the advancement of science. Machine learning is an example ...