Examples of using Learning involves in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
Language learning involves a lot of mistakes.
A lot of people carry an impression that deep learning involves a lot of mathematics and statistical knowledge.
All learning involves active participation and aims to engage students through various modalities.
This should be overtly obvious since machine learning involves data, and data has to be described using a statistical framework.
Deep learning involves using an artificial‘neural network'- a collection of‘neurons'(software-based calculators) connected together.
This should be overtly obvious since machine learning involves data, and data has to be described using a statistical framework.
Learning involves using the executive functions of the brain particularly the ability to focus, pay attention, engage with a task, and use working memory.
Bruner once explained that learning involves three almost simultaneous processes.
Deep learning involves building computer programs that loosely mimic the structure of animal brains, with many layers of artificial neurons that process data.
Fundamentally, machine learning involves building mathematical models to help understand data.
Machine learning involves anomaly detection, clustering, deep learning, and linear regression.
In other words, true learning involves a permanent change in how you see and act in the world.
Unsupervised learning involves training by using unlabeled data and allowing the model to act on that information without guidance.
According to Kotler's Definition, learning involves changes in an individual's behavior arising out of the experience.
Supervised learning involves somehow modeling the relationship between measured features of data and some label associated with the data;
This type of causal deep learning involves building, in a more painstaking manner, cognitive models of how conclusions are reached.
Double-loop learning involves changing the organization's knowledge-base or firm-specific competences or routines(Dodgson, 1993).
Entrepreneurial teaching and learning involves exploring innovative teaching methods and finding ways to stimulate entrepreneurial mindsets.
Independent learning involves students taking the initative in recognizing learning requirements and undertaking activities to meet them.
Supervised learning involves using an existing training set, which consists.
Reinforcement learning involves developing AI models without providing them with a huge amount of labeled data.
Academic machine learning involves almost exclusively offline evaluation of machine learning models.
Reinforcement learning involves providing reward signals to an agent in an environment incentivized to maximize its reward to meet a goal.
Reinforcement learning involves the computer in a sequence of trial and error attempts- about 10,000 in total- to reach and move objects.
Reinforcement learning involves the computer in a series of trial and error attempts- about 10,000 in total- to get to and shift objects.
Reinforcement learning involves an agent, a set of states S{\displaystyle S}, and a set A{\displaystyle A} of actions per state.
Unsupervised learning involves learning the relationships between elements in a data set and classifying the data without the help of labels.
Unsupervised learning involves modeling the features of a dataset without reference to any label, and is often described as”letting the dataset speak for itself.”.
Some Learning Involved: You can't jump right into a Joomla installation and start hammering out new posts if you're not familiar with the software.