Analyzing Large Graph Datasets with Graph Embeddings

Large graph datasets on a chalkboard Relationships are everything – family, friends, mentors, colleagues, business contacts.  That’s true in life in general, but also in a great many applications of data science.  The connections between people, businesses, banks, and accounts can tell you if the flow of money is normal or a case of identity…

Cloud Provisioning Using Deep Reinforcement Learning

Our Chief Data Scientist Tim Oates recently co-published a research paper alongside Zhiguang Wang, Chul Gwon, and Adam Lezzi. Their work points to some compelling evidence that deep reinforcement learning can cut down on the costs of cloud computing. At eight pages, it’s not a dense read, and the results are strong and convincing. You…

Deep Learning in the Real World

Our own Chief Data Scientist Dr. Tim Oates recently give a talk at the Thug Think conference in Portland, Oregon. He focused in on reinforcement learning, a branch of machine learning with exciting applications. Whether you’re familiar or brand new to the subject, his engaging presentation is going to be of interest to you. If…

GANs Are Hot- So What Is A GAN?

By Dr. Tim Oates, Chief Data Scientist Generative Adversarial Networks, or GANs, are one of the most exciting ideas in machine learning right now.  Yann LeCunn, perhaps best known for inventing Convolutional Neural Networks, said in a 2016 interview: The most important [new idea in machine learning], in my opinion, is adversarial training (also called…

Exploration vs. Exploitation

By Dr. Tim Oates, Chief Data Scientist There’s a branch of machine learning called reinforcement learning (RL) that deals with making decisions under uncertainty.  It works a little like people do when learning to play a new video game.  You look at the screen, assess the situation, try a few things, see what works and…

The Value of Going “Old School” in Data Science

By Dr. Tim Oates, Chief Data Scientist When I entered graduate school to work on a Ph.D. in Artificial Intelligence, the outlook for the field was uncertain, with dwindling attendance at the main national conferences and at best a lukewarm job market.  Things could not be more different today!  There’s genuine excitement in academia and…