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2. Alternative Learning System (Philippines) - Wikipedia

   en.wikipedia.org/wiki/Alternative_Learning...

   The Alternative Learning System (ALS) is a parallel learning system in the Philippines that provides a practical option to the existing formal instruction. When one does not have or cannot access formal education in schools, ALS is an alternate or substitute. System only requires learners to attend learning sessions based on the agreed schedule ...

3. Feature (machine learning) - Wikipedia

   en.wikipedia.org/wiki/Feature_(machine_learning)

   In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a phenomenon. [1] Choosing informative, discriminating and independent features is a crucial element of effective algorithms in pattern recognition, classification and regression. Features are usually numeric, but structural features ...

4. Team learning - Wikipedia

   en.wikipedia.org/wiki/Team_learning

   Team learning is the collaborative effort to achieve a common goal within the group. The aim of team learning is to attain the objective through dialogue and discussion, conflicts and defensive routines, and practice within the group. In the same way, indigenous communities of the Americas exhibit a process of collaborative learning .

5. Intercultural learning - Wikipedia

   en.wikipedia.org/wiki/Intercultural_learning

   Intercultural learning is an area of research, study and application of knowledge about different cultures, their differences and similarities. On the one hand, it includes a theoretical and academic approach (see e.g. Developmental Model of Intercultural Sensitivity (DMIS) by Milton Bennett, Dimensions of Culture by Geert Hofstede ).

6. Decision tree learning - Wikipedia

   en.wikipedia.org/wiki/Decision_tree_learning

   v. t. e. Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or regression decision tree is used as a predictive model to draw conclusions about a set of observations. Tree models where the target variable can take a discrete set of values are called ...

7. Online machine learning - Wikipedia

   en.wikipedia.org/wiki/Online_machine_learning

   e. In computer science, online machine learning is a method of machine learning in which data becomes available in a sequential order and is used to update the best predictor for future data at each step, as opposed to batch learning techniques which generate the best predictor by learning on the entire training data set at once.