2018 is set to be the year data finally delivers for both businesses and consumers. Alex Comyn, chief strategy officer at Amaze, explores 8 key trends that are set to imp...
A smoothly running sensor data analytics tool may be just as difficult to manage as a symphony orchestra. Because every musician in an orchestra – and every part of an ...
From BI to AI, the need for Big Data and analytics is pervasive and transformational. However, Big Data technologies such as Hadoop or Spark are still quite complicated ...
The Zipf distribution is used to model situations in which a few observations have a very high value (or impact) and account for a large part of the total, while a very l...
Hello All, Gives me immense pleasure to announce the release of our book “Practical Enterprise Data Lake Insights” with Apress. The book takes an end-to-end solution...
Who are our Data Quality Heroes? Lemahieu W., vanden Broucke S., Baesens B. This article is based upon our upcoming book Principles of Database Management: The Practical ...
This article was written by Lauren Brunk. The data scientist was deemed the “sexiest job of the 21st century.” The Harvard Business Review reasons that this “hybri...
Interested question posted on Quora recently. Here is my take on this. Just put the next buzz word on your resume when you graduate, maybe AI engineer? I completed my PhD...
TLDR: Neural Networks are powerful but complex and opaque tools. Using Topological Data Analysis, we can describe the functioning and learning of a convolutional neural n...
What You Need to Know about Machine Learning By Gabriel A. Canepa This eBook offers you the perfect place to lay the foundation for your work in the world of Machine Lear...