Artificial intelligence is getting smarter by leaps and bounds — within this century, research suggests, a computer AI could be as “smart” as a human be...
Since I am sometimes asked to explain phenomena in the absence of data, it becomes necessary to determine what data is required to explain phenomena. Some would say the...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
ILLUSTRATION BY STOCKTREK IMAGES, INC., ALAMY Bernard Marr discussed, in his April 20 LinkedIn post, the yawning skills gap in the tech sector, with just 11% of hiring...
Digitization has changed the way we process and analyze information. There is an exponential increase in online availability of information. From web pages to emails, sci...
In this series, I will talk about training a simple neural network on image data. To give a brief overview, neural networks is a kind of supervised learning. By this I me...
This is a new series, featuring great content from our top contributors. Some of these articles are rather technical in nature, but many are business-oriented and written...
In this script, we will explore the open roles at Google, and try to see what common attributes Google is looking for, in future employees. This dataset contains text i...
This is part of a book series by Pakt Publishing. The first book is entitled Statistics for Machine Learning and described below. Book Description Complex statistics in M...
This article was posted by Dikesh Jariwala on R Bloggers. With ever increasing volume of data, it is impossible to tell stories without visualizations. Data visualizati...