R Deep Learning Essentials By Joshua F. Wiley Get everything you need to know to enter the world of deep learning when it comes to R with this book. Get started from the ...
Businesses are growing more digitized today. As this happens, cybersecurity threats are rising as well. Companies are placed at an increasing risk, which is why they need...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, c...
Bill is the Editorial Director for Data Science Central, and President and Chief Data Scientist at Data-Magnum, providing predictive analytics and big data infrastructur...
As an Applied Data Scientist at Civis, I implemented the latest data science research to solve real-world problems. We recently worked with a global tool manufacturing co...
Summary: The annual Burtch Works study of Data Science salaries and employment statistics is just out and things continue to look great. There are some interesting tr...
In recent years, the ability of data science and machine learning to cope with a number of principal financial tasks has become an especially important point at issue. Co...
My writing engagement at Data Science Central came up unexpectedly. Back in August 2018, I stumbled upon an excellent write-up on Data Science Central. The author, Bill V...
In this article, I hope to inspire you to start exploring satellite imagery datasets. Recently, this technology has gained huge momentum, and we are finding that new poss...
The goal of both logical and physical architecture specifications is to define and document the logical and physical components of a system, respectively, in order to pro...