I am working on an outlet that would allow me to share my imaginary worlds to anyone interested. I cannot promise that the adventures you may embark would always be a wholesome experience. While I will try to insert warnings, one still enters at his or her own risk. Good luck and I hope you enjoy the journey.
https://blogs.nvidia.com/blog/2018/08/02/supervised-unsupervised-learning/ Source: Udacity AI for Business Leaders Supervised Learning - A category of machine learning which relies on the proper values, or labels , being present for the output data in the ground truth dataset, which the model can “learn” from during its training process. Labels - Values of the output variable/column/piece of data you are interested in Unsupervised Learning - A category of machine learning which uses the underlying characteristics of data itself, rather than already-supplied labels for outputs, to inform the model’s training process. Often uses segmenting or clustering algorithms to determine the output values. Reinforcement Learning - A category of machine learning which uses a series of simulations/cycles to reward optimal behaviors to learn policies for decision making in complex scenarios such as autonomous driving.