Pattern Exploration is a socially and environmentally conscientious consulting firm specializing in applied control solutions using machine learning and artificial intelligence
With three decades of experience modeling prediction, pattern classification, and algorithmic development, along with higher education and research, Pattern Exploration is equipped to work with you to confront and solve real world problems
Involved with the foundation of the field of Reinforcement Learning, we focus on working hand-in-hand with your domain expert to educate, extrapolate and solve the problem while discovering the deeper meaning and a higher resolution understanding of your data
Dr. Charles Anderson
Machine Learning Architect
Dr. Anderson has been involved with the machine learning field since studying at University of Massachusetts, Amherst, with Andrew Barto and Richard Sutton. He received his PhD in 1986, and has been continuing to develop machine learning algorithms and deep neural networks for reinforcement learning, and for modeling, prediction, and classification of high-dimensional data in general. He has been a Professor of Computer Science at Colorado State University since 1991 and holds joint appointments in the Molecular, Cellular, and Integrative Neuroscience Program, the School of Biomedical Engineering, the Graduate Degree Program in Ecology, and the Online Systems Engineering Program.
David Anderson
Machine Learning Developer
David is a recent arrival to machine learning, but brings a varied background and creative solutions to the field. He has previously worked in web and user design and development, signal processing, and developing virtual instruments. He studied Anthropology at Colorado State University, and Songwriting / Music Synthesis at Berklee College of Music, Boston. He splits his energies between AI development and music composition and audio for film, tv and video games.
