Sentence examples for a learning point of view from inspiring English sources

The phrase "a learning point of view" is correct and usable in written English.
It can be used when discussing perspectives or insights gained from educational experiences or processes.
Example: "From a learning point of view, this project has provided valuable insights into teamwork and collaboration."
Alternatives: "an educational perspective" or "a pedagogical standpoint".

Exact(3)

From both a learning point of view and an entertainment point of view, that's so much better".

It's quieter, has a safety enclosure, and it's meant to be engaging from a learning point of view.

Visual semantic associations and visual phonological associations are both vastly arbitrary and thus may raise equivalent challenges from a learning point of view.

Similar(57)

In contrast to these traditional methods, which are based on hand-engineered transformations, the problem can also be approached from a machine learning point of view if representative examples of the task are provided.

In summary, the contributions of this paper are as follows: First, it uses both kinase and kinase inhibitor descriptors at the same time to address the interaction between small heterogeneous molecules and kinases from different families from a machine learning point of view.

On the one hand, the paper "Decision making for cognitive radio equipment: analysis of the first 10 years of exploration" by W Jouini, C Moy and J Palicot draws a general retrospective view on the first 10 years of CR from the decision making and learning point of view from an equipment perspective.

From the machine learning point of view this phenomenon is termed covariate shift and describes the fact that the training data follows a different distribution than the test data [3].

First, from machine learning point of view, every time the decoder successfully completes the task the association between the M1 neural states and Actor-Critic actions are reinforced by increasing the corresponding network weights.

From the multitask learning point of view, such important features should be shared by all/most tasks.

From the machine learning point of view, it is critical since the microarray datasets usually contain a small number of experiments (called samples) and a large number of genes (called features) in each experiment.

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