DoT Blog

Following on my previous WTF post on Machine Learning, it just make sense to continue in this line of thought to address another of many popular and trendy concepts. We are talking about: Deep Learning. So without further due, lets explain WTF is deep learning shall we? Simply put, and as inferred from the previous post mentioned, deep learning is one of  now many approaches to machine learning we can find out there, along the lines of other approaches like decision tree learning, association rule learning, or Bayesian networks. While deep learning is not new, was introduced by Dr. Rina Dechter in 1986, its until recent years that this approach have gained fame and popularity among users and particularly among software companies adopting it within their analytics arsenals. Deep learning enables to train the computer to perform tasks including recognizing speech, identifying images or making predictions by, instead of organizing data to run through predefined equations, s...

In a world where we might think is being ruled and controlled by tech geeks and data scientists, during meetings and phone calls with customers I’m still, often, being hit with honest and candid questions about any given topic about the data and analytics and give my personal take on them. In virtue of this, I’ve decided to take a shot and a series of posts to answer, as plainly as I possibly can, common questions I receive in my day-to-day life as a consultant and analyst. Starting with my most popular question nowadays: WTF is machine learning? So, here we go... Machine Learning in a Tiny Nutshell The discipline of  machine learning evolved as part of larger disciplines including data mining and artificial intelligence (AI) and, in many ways, evolving side by side with traditional statistics and data mining and other mathematical disciplines. So, simply put, machine learning cares about the development of mathematical models and algorithms with the ability to “ lea...