Curious about what human-in-the-loop machine learning actually looks like? Join CrowdFlower and learn how to effectively incorporate Active Learning, Transfer Learning, a...
This is an AI related post on the nature and philosophy of intelligence. In the various fields that study the mind, human or otherwise, there are many definitions (and la...
The use of formal statistical methods to analyse quantitative data in data science has increased considerably over the last few years. One such approach, Bayesian Decisio...
In my first article on this topic (see here) I introduced some of the complex stochastic processes used by Wall Street data scientists, using a simple approach that can ...
In my first article on this topic (see here) I introduced some of the complex stochastic processes used by Wall Street data scientists, using a simple approach that can b...
The rising popularity of Amazon Alexa and Google Home has lead people to expect when they speak to software it will understand what to do. This concept is also ascendant ...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, ...
This article was written by Adam Geitgey. Adam is interested in computers and machine learning. He likes to write about it. This guide is for anyone who is curious abou...
Summary: Automated Machine Learning has only been around for a little over two years and already there are over 20 providers in this space. However, a new European AM...
Summary: The Magic Quadrant for Advanced Analytic and ML Platforms is just out and there are some big changes in the leaderboard. Not only are there some surprising up...