Susan is a global product marketing manager at SAS, focused on helping customers explore the possibilities of SAS Viya. With a Ph.D. in Human Factors and Ergonomics, she brings a unique perspective on how people learn, work and interact with technology. Her background spans user-centered design, product management, customer insights and operational risk, giving her a practical view of how analytics can improve experiences and drive better outcomes.
This series of videos spotlights a very powerful API that lets you use Python while also having access to the power of SAS Deep Learning.
I look forward to Pi Day every year at SAS because it's a day of celebration including yummy pies and challenging games that challenge you to recall the digits after the decimal point in Pi. Plus you get to wear Pi t-shirts (I have about seven). Today, though we are going to talk about DLPy which sounds like Pi and
There are four widely recognized styles of machine learning: supervised, unsupervised, semi-supervised and reinforcement learning. These styles have been discussed in great depth in the literature and are included in most introductory lectures on machine learning algorithms. As a recap, the table below summarizes these styles. For a comprehensive mapping
