LEARNING REQUIRES in Chinese translation

['l3ːniŋ ri'kwaiəz]
['l3ːniŋ ri'kwaiəz]
学习需要
学习要求

Examples of using Learning requires in English and their translations into Chinese

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At Whitman we believe that the life of the mind and intellectual learning require a balance of fitness and wellness programs.
惠特曼相信我们的心灵和智力生活学习需要的健身和健康项目的平衡。
And just after 15 weeks of hard work and learning required skills I became a developer.
经过15个星期的努力工作和学习所需的技能,我才成为开发人员。
For example, artificial intelligence and machine learning require a lot of data and teaching.
比如,大数据和机器学习需要大量的数据进行训练和学习。
During the last decade, machine learning required massive servers, complex models, teams of extremely rare experts, and excessive amounts of time and resources.
过去十年,机器学习需要大型服务器、复杂模型、稀缺人才,需要投入大量的时间和资源。
Evidence-based policymaking and quality learning require the enhancement of the knowledge and information base through improved literacy monitoring, assessment and research.
循证决策和高质量的学习需要通过改善扫盲监测、评价和研究加强知识和信息库。
You will also learn required skills in communications, mathematics, science and health and safety to enhance your knowledge and skills for application in the workplace.
您还将学习必要的技能,在通信,数学,科学,健康和安全,以提高自己的知识和技能,在工作场所的应用。
Learning requires dialogue and support.
学习需要对话与合作。
To keep learning requires courage.
学习,依然是需要勇气的。
Supervised machine learning requires labeled data.
监督式机器学习需要标记数据.
Machine learning requires a different mindset.
机器学习需要不同的思维方式。
Success requires learning, and learning requires failure.
成功需要学习,学习需要失败。
Machine learning requires a different mindset.
但是,机器学习需要另一种思维方式。
Traditional machine learning requires feature engineering.
传统的机器学习需要人工提取特征。
Critical thinking learning requires time.
批判性思维需要有一定时间的训练
Unsupervised learning requires no teacher or target.
非监督式学习(Unsupervisedlearning)不需要教师或目标。
They had to learn and learning requires failure.
成功需要学习,学习需要失败。
Traditional machine learning requires the creation of features.
传统的机器学习需要人工提取特征。
The key point is that learning requires calm.
第四条是学习需要宁静。
Learning requires curiosity, exploration, evaluation, and dialogue.
学习需要好奇心,探索,评估,和对话。
Deep learning requires knowledge of the following topics.
深入学习需要了解以下课题:.
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