This infographic came from Experts Exchange. We may (sadly) live in a world devoid of flying cars and personal teleportation devices, but that doesn’t mean technol...
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...
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...
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...
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...
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...
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 mont...
Summary: Convolutional Neural Nets are getting all the press but it’s Recurrent Neural Nets that are the real workhorse of this generation of AI. We’ve paid a lot...