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Purpose: UNICEF, the world's leading organization working for the rights of children, seeks a consultant to support lead UN agencies in designing a strong programme across six 2-day workshops that will support the desired learnings and outcomes of the Data Innovation Lab workshops, drawing on relevant pedagogy and tested theories of learning.
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Apart from making microlectures, to achieve desired self-learning result, supposing students do download the microlecture for reasons of curiosity, high self-discipline or supervision from teachers, to help students understand the lecture correctly teachers need to give students questions for self-check.
Therefore, the mere inclusion of application-level problems on exams does not guarantee student engagement in the desired deep-learning approach and may reinforce erroneous ideas about the nature of knowledge and learning within a discipline.
To automatically generate the desired predictive models, nearly all machine learning-based approaches require a set of documents to train the model.
Their machines assimilated all the lessons of past searches, using these learnings to more precisely deliver the desired results.
The power producer using the Q-learning method learns from past experiences to implicitly identify the market power, and find desired response in competing with the rivals.
In this paper, a reinforcement-learning-based direct adaptive control is developed to deliver a desired tracking performance for a class of discrete-time (DT) nonlinear systems with unknown bounded disturbances.
Deep learning techniques will be used for the identification and a novel machine-learning-based autonomous decision maker (ADM) for the exploitation of the desired information.
ICR has always been heavily involved in giving inexperienced personnel the tools to enable them to enter the industry, providing courses, publications and e-learning modules that are aimed to help inexperienced candidates secure their desired roles.
This feature motivates the development of a cycle-to-cycle learning-based external control for activating the internal feedback mechanism based on the desired valve profile characteristics and the system state.
This investigation elucidates the feasibility of applying a novel population-based metaheuristics labeled here as Teaching-learning-based optimization to direct the orbits of discrete chaotic dynamical systems towards the desired target region.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com