IBM, the 92nd in the Top 100 in the Fortune Global 500 list in 2018, according to the own Fortune Magazine websites, http://fortune.com/global500/ibm/, and IBM, as we kno...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, ...
Guest blog by Michael Grogan. Here is how we can use the maps, mapdata and ggplot2 libraries to create maps in R. In this particular example, we’re going to cre...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
Introduction Agriculture is a major segment powering the Asian economy. A small transformation in agricultural outcomes can have a huge impact on 2 dimensions – economi...
Speed of Adoption will matter more than ever It’s been a while since businesses have been debating over investment into data and analytics. Some people have already don...
Summary: Here are our 5 predictions for data science, machine learning, and AI for 2019. We also take a look back at last year’s predictions to see how we did. It�...
With the trend of advancement, a range of new products and competitive enterprise deployments, artificial intelligence is creating a storm in the Internet of Things (I...
Summary: Here are our 5 predictions for data science, machine learning, and AI for 2019. We also take a look back at last year’s predictions to see how we did. It�...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...