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...
Summary: Deep changes are underway in how data science is practiced and successfully deployed to solve business problems and create strategic advantage. These same ch...
According to IDG, 35% of companies with effective data grow faster year-on-year, however, many still take little notice of data quality or ongoing data management, p...
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...
There is no doubt that SQL is the most widely-used working language for processing structured data. Not only is the language adopted by all relational database products, ...
In the article, Data Science Should Monitor Big Brother by Arjan Haring, one important overlooked point here is that significant value, even from the point of view o...
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...