ComputerWorld's article on the speed of Google's patches to the Chrome and ChromeOS vulnerabilities within 48 hours of revelation serves as a reminder on why one may want to consider using a Chromebook if internet security is a high priority. No device is completely safe but some are harder than others to exploit. No company has closed vulnerabilities as quickly as Google did after the recent Pwn2Own and Pwnium hacking events.
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.