Abstract – Big data helps to make strategy for future and understand user behaviors. In 1959, Arther Samuel gave very simple definition of Machine Learning as “a Fi...
This article was written by Roger Strukhoff and Sophie Turol. A scary rate of IoT data growth: The Internet of Things (IoT) is covering the gamut of industries: health...
Here a list of resources, mostly in the form of tutorials, covering most important topics in data science: This resource is part of a series on specific topics related t...
Summary: In the first part of this series we described the basics of Reinforcement Learning (RL). In this article we describe how deep learning is augmenting RL and a...
Pictographs are exceptionally good for some types of data. In this post, I show how useful they are for displaying proportions (e.g. rates, percentages, fractions). Look ...
Will Artificial Intelligence make subject matter experts obsolete? Imagine you want to build an application that helps to identify wine and cheese pairings. Who will perf...
Data Science and Law are in a lot of ways vastly different; however they do have a few things in common: both professions rely heavily on historical data and patterns . C...
By JIANG Buxing In conventional reporting architecture, a reporting tool is connected directly to data sources, without a data computing layer in between. Most of the t...
This article comes from a writer at Steemit. First off, let me say: this topic is vast. In my article, I’ll try to boil down the main facts, but be warned, you should ...
We are all familiar with machine learning in our everyday lives. Both Amazon and Netflix use machine learning to learn our preferences and provide a better shopping and m...