While writing a previous post, I learned a pretty shocking fact: 19% of gay men have HIV. That’s a lot! A while back I had broken-condom sex with a lady from sub-Saharan Africa who I later learned was a pimpstress - for months afterwards I was really scared that I got HIV. But this is a totally different order of magnitude!

There’s been a lot of advances in image classification, mostly thanks to the convolutional neural network.

Counting is hard. You might be surprised to hear me say that, but it’s true. As a data scientist, I’ve done it all - everything from simple regression analysis all the way to coding Hadoop MapReduce jobs that process hundreds of billions of data points each month. And, with all that experience, I’ve found that counting often involves far more time and effort.

Long Range Anti-Ship Missile (LRASM)

Emilio Ferrara discusses “The Rise of Social Bots” on the July 2016 Communications of the ACM.

This post is going to focus on explaining what factorization machines are and why they are important. The future posts will provide practical modeling examples and a numpy clone implementation of factorization machines.

Financial institutions are making use of Big Data in big ways, from boosting cybersecurity to reducing customer churn, cultivating customer loyalty, and more through innovative and personalized offerings that make modern banking a highly individualized experience. Data drives the modern financial industry in many ways.

What really is a model? In short, it’s an agent’s understanding of the surrounding environment. In Markov processes, a model can be represented as probabilities of what will happen if the agent takes action A from state S.