Deep learning is sometimes referred to as the intersection between machine learning and artificial intelligence. It is about designing algorithms that can make robots int...
Guest blog post by Dalila Benachenhou, originally posted here. Dalila is Professor at George Washington University. In this article, benchmarks were computed on a specif...
From querying your data and visualizing it all in one place, to documenting your work and building interactive charts and dashboards, to running machine learning algor...
A Visual Studio 2013 demo project including all of the code in this article can be downloaded using the links in the resources section below. I was recently tasked with...
IoT and data science are intertwined, as sensor data from wearables, transportation or healthcare systems, manufacturing and engineering, needs to be collected, refined, ...
In this article, using a few examples and solutions, I show that the “best” algorithm is many times not what data scientists or management think it is. As a r...
Guest blog post byRick Riddle It can be tempting to lump all the people who’ve spent more of their life with social media as one large group with largely the same inter...
Fast forward transformation process in data science with Apache Spark Data Curation : Curation is a critical process in data science that helps to prepare data for featur...
INTRODUCTION TO THE RESEARCH QUESTION The research was conducted to find out what price maximises profit without sacrificing the high demand for the product due to the ...
This reference is a part of a new series of DSC articles, offering selected tutorials, references/resources, and interesting articles on subjects such as deep learning, m...