Abstract: A machine learning problem assessment system that identifies potential machine learning problems in a machine learning system in which learning code evaluates data to correlate estimated learned data with data patterns. An accessing component accesses the learning code and/or the data that the learning code evaluates. A problem identifies component estimates, based on the accessed code and/or data, that there is a potential problem with machine learning system. A rectification component at least partially automatically rectifies the identified potential problem with the machine learning system by performing a computerized action on the machine learning system. The identified potential problem may affect quality (e.g., appropriateness of conclusions) and/or performance (e.g., speed) of the learning of the machine learning system.

Abstract: The claimed subject matter provides a system and/or a method that facilitates re-locating a web application associated with a network service utilizing a portion of serialized data. The network service can be any collection of resources that are maintained by a party (e.g., third-party, off-site, etc.) and accessible by an identified user over a network (e.g., WAN, Internet, etc.). An interface component can receive a portion of serialized data with transparent structure related to an application specification. A hydrate component can create a web application independent of a network service based at least in part upon the serialized data, the web application has state within the network service.

Abstract: The claimed subject matter provides a system and/or a method that facilitates re-locating a web application associated with a network service utilizing a portion of serialized data. The network service can be any collection of resources that are maintained by a party (e.g., third-party, off-site, etc.) and accessible by an identified user over a network (e.g., WAN, Internet, etc.). An interface component can receive a portion of serialized data with transparent structure related to an application specification. A hydrate component can create a web application independent of a network service based at least in part upon the serialized data, the web application has state within the network service.

Abstract: Automated client device management techniques are described. In an implementation, a method is described which includes collecting heuristic data from a plurality of client device over a network. The heuristic data describes a plurality of health considerations that include reliability, performance and security of the plurality of client devices. The collecting of the heuristic data is performed periodically and automatically without intervention from users of the plurality of client devices. A remedy is generated corresponding to an issue identified from the heuristic data regarding at least one of the health considerations that cures the issue and addresses one or more other health considerations indicated in the heuristic data.

Abstract: An exemplary upgrade module includes an upgrade wizard component, an upgrade analyzer component, and a source analyzer component wherein the upgrade wizard component operates in conjunction with an IDE to facilitate migration of source code or a project to the IDE or a runtime engine and/or OS associated with the IDE. An exemplary method includes selecting a source code or project written in a programming language associated with a native compiler that targets a native runtime engine, analyzing the code or project and then upgrading the code or project based on the analyzing such that the resulting upgraded code or project can compile on a foreign compiler and target a foreign runtime engine. According to such an exemplary method, the upgrade or migration optionally occurs without modifying the selected source code. Other exemplary methods, devices and/or systems are also disclosed.