Examples of using Learning uses in English and their translations into Chinese
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Deep Learning uses the neural network to solve problems.
While a single learner model uses only one learner(algorithm),ensemble learning uses multiple learner/experts.
单学习器模型只用一个学习器（算法），而集成学习使用多个学习器。Deep learning uses statistical techniques to discover patterns.
深度学习使用统计技术来发现模式。ITProPortal's Vineet Jain writes in a May 26, 2017,article that machine learning uses statistical interpretation to generate predictive models.
ITProPortal的VineetJain在2017年5月26日的文章中写道，机器学习运用统计解释来生成预测模型。Machine learning uses also saw an uptick of 7% and stands at 38%.
机器学习的使用也上升了7%，达到38%。Machine learning uses various techniques for data extraction and data interpretation.
机器学习使用各种技术进行数据提取和数据解释。Transfer learning uses knowledge from one type of problem to solve similar problems.
迁移学习使用一种问题类型的知识来解决类似的问题。Reinforcement learning uses a machine's personal history and experiences to make decisions.
强化学习使用机器的历史和经验来做出决策。Traditional machine learning uses statistical analysis based on a sample of a total data set.
传统的机器学习使用基于总数据集的样本进行统计分析。Traditional machine learning uses statistical analysis based on a sample of a total data set.
传统的机器学习使用的是基于整个数据集样本的统计分析。Traditional machine learning uses statistical analysis based on a sample of a total data set.
传统的机器学习使用基于一个总的数据集的样本来进行统计分析。Traditional machine learning uses statistical analysis based on a sample of a total data set.
传统的机器学习使用的是对全体数据集某个样本所作的统计分析。Finally, reinforcement learning uses a machine's personal history and experiences to make decisions.
最后，强化学习使用机器的个人历史和经验来做出决定。Machine learning uses AI and big data to learn and it can find things that no humans can see.
Deep Learning uses networks where data transforms through a number of layers before producing the output.
深度学习使用网络，在产生输出之前，数据通过多个层进行转换。Machine learning uses statistics(mostly inferential statistics) to develop self learning algorithms.
机器学习利用统计学（大多是推断统计学）来开发自学习算法。Machine learning uses statistics(mostly inferential statistics) to develop self learning algorithms.
机器学习使用统计学(主要是推理统计)来发展自我学习算法。Typically, Machine Learning uses“stored” data for training, in a“controlled” learning environment.
通常，机器学习使用“存储”数据在“受控”的学习环境中进行训练。Deep learning uses structures loosely inspired by the human brain, consisting of a set of units(or'neurons').
深度学习使用由人的大脑松散的结构，由一组单位（或“神经元”）组成。Machine learning uses real data to make these decisions, in the moment, just as a person would use it to make decisions in a conversation.
目前，机器学习使用真实数据来做出这些决策，就像人们在对话中使用它来做出决策一样。Machine learning uses computational and statistical techniques to train computational models to detect patterns from data, then perform a desired task.
机器学习使用计算和统计技术来训练计算模型以从数据中检测模式，然后执行期望的任务。Machine learning used to trace the failure of several services to a root cause.
机器学习用于跟踪多个服务的故障根本原因。Machine learning used to mean automating tasks and replacing human work.
机器学习曾经意味着自动化任务和替代人工。Support student learning using a variety of effective instructional methods, educational technologies, and college resources.
支持学生学习使用各种有效的教学方法，教育技术和大学资源。Animation Mentor students learn using our proprietary online campus, exclusive feedback tools and real-world production pipeline.
动画指导学生学习使用我们专有的在线校园，独家反馈工具和现实世界的生产管道。Students will learn using modern technology safely, particularly concerns relating to cyberbullying and sexting and strategies to deal with these.
学生将学习使用现代化的技术安全，特别是有关网络欺凌和关注性短信和策略来应对这些。Not only do we hire the best, we make sure you learn using only the very latest software and equipment.
我们不仅雇用最好的，我们确保您只学习使用最新的软件和设备。Deep learning used to identify and correlate data that predicts a failure in power, storage or network connection.
深度学习用于识别和关联预测电源、存储或网络连接故障的数据。Students learn using the most rigorous tools of social science to bear on these important questions.
In this way, students learn using: listening, re-telling, writing(and the necessary re-reading that goes with this), as well as creative/artistic impressions.
以这种方式，学生学习使用：听力，重新讲述，写（和必要重新阅读与此去），以及创意/艺术的展示。
