Abstract: A system and method are described for improved training and testing of machine learning systems by curating user-generated scenarios and using them to validate model behavior post-training. In various embodiments, the system and method generate a dataset that contains records having relevant attribute(s), pattern(s), and/or signal(s) that can be used for model validation and training. Particular datasets that model business-relevant and real-world scenarios are selected and identified, so as to improve the effectiveness of the testing process. The selected data can be used on its own, or it can be used to augment existing training data.

Abstract: A portable personal electronic device mounting apparatus is provided. The apparatus includes a vertical strip comprised of vertical fasteners, a support bracket attached to a bottom portion of the vertical strip. In this embodiment, the support bracket is configured to receive a personal electronic device. The apparatus further includes a first support strap comprised of first strap fasteners and two ends. Each of the two ends is selectively fastenable to each other and at least one of the two ends is selectively fastenable in relation to the vertical strip.

Abstract: A portable personal electronic device mounting apparatus is provided. The apparatus includes a vertical strip comprised of vertical fasteners, a support bracket attached to a bottom portion of the vertical strip. In this embodiment, the support bracket is configured to receive a personal electronic device. The apparatus further includes a first support strap comprised of first strap fasteners and two ends. Each of the two ends is selectively fastenable to each other and at least one of the two ends is selectively fastenable in relation to the vertical strip.