A data-driven solution for the future
The Story of Deep Learning
The Technology of the Future Today
Recent advances in computational hardware have driven new capabilities in machine learning. Deep Learning is at the forefront of the new machine learning renaissance. Among other feats Deep Learning has achieved superhuman object recognition in vision tasks, superhuman board game ability, and powers voice recognition technology such as smart speakers.
Today’s machine learning algorithms have conquered all major games of strategy, and can routinely execute tasks that once required a lifetime’s expertise.
Today’s machine learning algorithms have conquered all major games of strategy, and can routinely execute tasks that once required a lifetime’s expertise. In the field of optimal control, data-driven approaches are rapidly becoming the preferred method, where fewer assumptions can be made about unknowns, which may be electricity demand or renewable generation in the case of wholesale markets. By strictly adhering to data-driven approaches, Grand Oak Capital seeks to iteratively improve and provide consistent and excellent returns to our investors.
Grand Oak Capital Management applies modern deep learning techniques using technologies such as Tensorflow to model energy markets in the United States. Recent astonishing developments of the Artificial Intelligence and Deep Learning fields have demonstrated the modern computer’s ability to process vast amounts of data to predict the most complex of patterns. Grand Oak Capital Management has succeeded in applying these technologies to trade generation in the energy market.
Is deep learning machine learning?
Yes, deep learning falls under machine learning.
What is Deep Learning used for?
Deep Learning can be used to forecast electricity usage and renewable power generation using information such as a weather forecast.
Why not use a linear regression?
Some relationships are non-linear and Deep Learning is more capable of capturing these relationships.