tl;dr:Modern advertising is powered by data-driven AI, and "Math Men" are becoming key to bridging where advertising was with where it needs to be as the primary monetizer of the modern internet (and making sure an agency doesn't bring a knife to a robot fight.)
tl;dr: The Monthly Recurring Revenue (MRR) model is the most popular revenue model currently being employed by SaaS and subscriptions, which include everything from Apple music to Lootcrate. In this model, a customer's value is defined over his subscribed lifetime, not his individual transactions, and this post formalizes a predictive framework for modeling this variable behavior using a living business plan.
tl;dr: Bitcoin is the first crypto-currency to receive mainstream attention, and it's reception may decide the success or failure of this new form of financial interaction. Having made reasonable profits trading with it, I sought a means to develop a viable predictive model; however, due to the novelty of the asset, most of the models at my level simply could not cope with it, but I may have found my first step in Financial Multifractal Analysis.
tl;dr:I have finally managed to build and train a very simple neural network, 'GamerNet', and in this post I'll show you what he's built of, and what I'm trying to use him for. For a little refresher on what that is and why I'm doing it, please refer back to Part 1.
tl;dr: I have finally managed to build and train a very simple neural network, but before jumping right in and showing you everything I've discovered at once, I've decided to split it up, and start with a little background first. In this post, I will outline what a neural network actually is and why I want to build one, and in my next post I'll show you what I've actually made.
tl;dr: Horseshoe Crab blood is now worth $15,000 a quart, due to it's ability to coagulate very quickly when it encounters dangerous bacteria (like E. Coli); one of many genetic adaptations that have allowed them to spend the last 450 million years more or less unchanged. Therefore, is there a meaningful correlation between evolutionary success and technological usefulness?