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And when retail curators gain momentum, the model could scale well globally, particularly in segments where products tend to have the same specifications in all markets, such as technology and some kinds of apparel.
The model could scale to the entire developing world.
This model could scale well in the face of Big Data challenges given some of its distributed characteristics, which enables "Observers" and "Analyzers" to be added for scalability.
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Hardly what one would call large scale, but touching many lives and perhaps serving as a model that could scale.
We would evolve towards much more networked institutional models that could scale very rapidly.
Its proponents tend to use Apple as an example, and I admit there's something creepy about the near-total control Apple maintains over every facet of its ecosystem but that doesn't mean the Apple model could ever scale to an entire nation.
However, all these heuristic algorithms cannot well address both of the above-mentioned two issues in QML at the same time: backtracking and branch-and-bound search may have the scalability issue when searching large-scale model spaces; genetic algorithms could scale well, however, they tend to converge to a single solution and cannot deal with multimodal search spaces.
The model could be scaled up to where one coach works with multiple instructors concurrently, which could easily be manageable if the instructors were teaching the same or similar courses.
Strategies from this model could be scaled up in the region through the collaborative programs that involve students and mentors from several Universities within the country, the region and overseas.
Furthermore, this model could be scaled up and spread at pace because its reach is not overly reliant on the input of academic specialists or limited by time constraints imposed on nursing staff, and consequently it may be a more feasible and acceptable model to implement into routine care.
You could scale.
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