Summary: Quantum computing is already being used in deep learning and promises dramatic reductions in processing time and resource utilization to train even the most co...
Background I heard about The Mathematical Corporation: Where Machine Intelligence and Human … by Josh Sullivan and Angela Zutavern through a tweet by Kirk Bourne....
This article comes from Rylan Schaeffer Github. I’ve found that the overwhelming majority of online information on artificial intelligence research falls into one o...
This article was written by Tim O’Reilly. Source for picture: The Onion There are many signals of likely truth or falsity that can be verified algorithmically by a...
In this post, you discovered how to train a final machine learning model for operational use. You have overcome obstacles to finalizing your model, such as: Understanding...
Cross-validation is a technique used to assess the accuracy of a predictive model, based on training set data. It splits the training sets into test and control sets. T...
Summary: This is the second in our multi-part series on Quantum computing. In this article we’ll dive a little deeper into what’s available, what’s coming soon,...
In this article, Data Scientist Pramit Choudhary provides an introduction to both statistical and machine learning-based approaches to anomaly detection in Python. Introd...
This Python cheat sheet was produced by DataCamp. Click on the image to zoom in. The original, published here, is available as a PDF document. The translation from PDF to...
AWS outage – when the ‘technical debt’ bill comes due Most press coverage of AWS’s recent outage has explained the event as having been caused by a “typo” ...