在 英语 中使用 Machine learning tasks 的示例及其翻译为 中文
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The data includes the Energy Star Score, which makes this a supervised regression machine learning task.
A deep learning based system automatically learns the relevant features to solve a machine learning task.
基于深度学习的系统会自动学习相关特征以解决机器学习任务。Classification When the data is used to predict a category, supervised machine learning task is called classification.
分类当使用这些数据来预测某一类别，监管式机器学习任务被称为“分类”。An understanding of the different components of the Machine Learning algorithm and their inter-relationship can make the Machine Learning task easier.
了解机器学习算法的不同组成部分和它们之间的相互关系，可以使机器学习任务变得更加容易。But these tools generally offload the machine learning task to a server, wait for it to compute and then send back the results.
但这些工具通常会将机器学习任务转移到服务器，等待它进行计算，然后返回结果。Machine Learning Tasks.
机器学习任务.Most Machine Learning tasks are about making predictions.
大多机器学习任务是关于预测的。Most Machine Learning tasks are about making predictions.
大多数机器学习任务是要做出预测。Machine learning tasks are typically classified into several broad categories.
机器学习任务通常分为几大类：.Decision trees are a popular method for various machine learning tasks.
决策树是各种机器学习任务的常用方法。You can find many libraries to perform AI/Machine Learning tasks.
你可以找到许多JS库来执行人工智能/机器学习任务。First of all, you should distinguish 4 types of Machine Learning tasks.
首先，你应该区分机器学习任务的四种类型.The neural engine is what powers Face ID and other machine learning tasks.
神经引擎是什么力量面孔ID和其他机器学习任务。First of all, you should distinguish 4 types of Machine Learning tasks.
首先，你应该能区分以下四种机器学习任务：.The DMTK is designed to allow machine learning tasks to be easily scaled.
DMTK使得机器学习任务很容易进行扩展。For data science and modern machine learning tasks, this is an invaluable advantage.
对数据科学和现代机器学习任务来说，这是一个宝贵的优势。The business problem, once defined, needs to be decomposed to machine learning tasks.
Notably, the focus here is on doing machine learning tasks on the local device.
值得注意的是，这里的重点是在本地设备上执行机器学习任务。The framework is the most extensively used framework by AI developers for the machine learning tasks.
该框架是AI开发人员用于处理机器学习任务的最广泛使用的框架。Machine learning tasks involve problems such as manipulating and classifying large numbers of vectors in high-dimensional spaces.
机器学习任务涉及到诸如在高维空间中对大量向量进行处理和分类的问题。
