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Maker education is an offshoot of the maker movement, which Time magazine described as "the umbrella term for independent innovators, designers and tinkerers. A convergence of computer hackers and traditional artisans, the niche is established enough to have its own magazine, Make, as well as hands-on Maker Faires that are catnip for DIYers who used to toil in solitude". [3]
The model may not reflect the changes in the market instigated by online technologies. For example, it does not reflect the recent focus on informal learning. [5] The 70:20:10 model is not prescriptive. Author and learning and development professional Andy Jefferson asserts it "is neither a scientific fact nor a recipe for how best to develop ...
The AIDA marketing model is a model within the class known as hierarchy of effects models or hierarchical models, all of which imply that consumers move through a series of steps or stages when they make purchase decisions. These models are linear, sequential models built on an assumption that consumers move through a series of cognitive ...
Louviere (marketing and transport) and colleagues in environmental and health economics came to disavow the American terminology, claiming that it was misleading and disguised a fundamental difference discrete choice experiments have from traditional conjoint methods: discrete choice experiments have a testable theory of human decision-making ...
The difference between learning automata and Q-learning is that the former technique omits the memory of Q-values, but updates the action probability directly to find the learning result. Learning automata is a learning scheme with a rigorous proof of convergence. [21] In learning automata theory, a stochastic automaton consists of:
The response could be a binary variable (for example, a website visit) [1] or a continuous variable (for example, customer revenue). [2] Uplift modelling is a data mining technique that has been applied predominantly in the financial services, telecommunications and retail direct marketing industries to up-sell, cross-sell, churn and retention ...
Double-loop learning is used when it is necessary to change the mental model on which a decision depends. Unlike single loops, this model includes a shift in understanding, from simple and static to broader and more dynamic, such as taking into account the changes in the surroundings and the need for expression changes in mental models. [3]
Bayesian decision theory can be applied to all four areas of the marketing mix. [11] Assessments are made by a decision maker on the probabilities of events that determine the profitability of alternative actions where the outcomes are uncertain. Assessments are also made for the profit (utility) for each possible combination of action and event.