学习问题 - 翻译成英语

• learning problems
• learning issues
• learning problem
• a matter of learning
• learning questions
• school problem

在 中文 中使用 学习问题 的示例及其翻译为 英语

朴素贝叶斯分类器具有高度可扩展性，在学习问题中需要多个变量（特征/预测器）数量的线性参数。
Bayesian method is also highly scalable, requiring a number of parameters linear in the number of variables(features/predictors) in a learning problem.

我们将学习各种各样的非监督式学习问题，以及针对每种问题类型使用的适当算法。
We will learn about the various unsupervised machine learning problems and as well as the appropriate algorithm to use for each problem type.

学习问题的特点是由输入数据和输出数据组成的观察(observations)以及两者之间的未知但一致的关系。
The learning problem is characterized by observations comprised of input data and output data and some unknown but coherent relationship between the two.

NET来解决许多不同类型的机器学习问题，包括分类、推荐或集群等标准问题与针对特定领域问题的定制解决方案。
NET to solve many different kinds of machine learning problems, from standard problems like classification, recommendation or clustering through to customised solutions to domain-specific problems..

将时间序列数据转换成有监督学习问题的一个关键是Pandas的shift()函数。
A key function to help transform time series data into a supervised learning problem is the Pandas shift() function.

一旦我们定义了业务问题，并且分解成了机器学习问题，我们接下来需要深入了解数据。
Once we have defined the business problem and decomposed into machine learning problems, we need to dive deeper into the data.

这是一个二元分类（又称为两类分类）的示例，也是一种重要且广泛适用的机器学习问题。
This is an example of binary- or two-class- classification, an important and widely applicable kind of machine learning problem.

由于大部分训练数据也是关系型的，这种类型的数据结构似乎非常适合于机器学习问题。
Since much of the training data is also relational, this type of data structure would seem ideally suited to machine learning problems.

学习援助方案是提供给谁已确诊的学习差异或谁遇到学习问题，可能需要教育援助的学生。
The Learning Assistance Program is available to students who have diagnosed learning differences or who are experiencing learning problems and may need educational assistance.

这是一个典型的二分类问题，是一种重要且广泛适用的机器学习问题。
This is an example of binary- or two-class- classification, an important and widely applicable kind of machine learning problem.

Uber最初将Ludwig设计为通用工具，用于在处理新的应用机器学习问题时简化模型开发和比较过程。
We originally designed Ludwig as a generic tool for simplifying the model development and comparison process when dealing with new applied machine learning problems.

这是一个二元（binary）或者二分类问题，一种重要且应用广泛的机器学习问题。
This is an example of binary- or two-class- classification, an important and widely applicable kind of machine learning problem.

其中训练数据包括输入矢量的示例以及它们对应的目标矢量的应用被称为监督学习问题。
Applications in which the training data comprises examples of the input vectors along with their corresponding target vectors are known as supervised learning problems.

当我们试图预测的目标变量是连续的，比如在我们的房屋例子中，我们叫该学习问题是一个回归问题。
When the target variable that we're trying to predict is continuous, such as in our housing example, we call the learning problem a regression problem..

SGD已成功应用于文本分类和自然语言处理中经常遇到的大规模和稀疏机器学习问题。
SGD has been successfully applied to large-scale and sparse machine learning problems often encountered in text classification and natural language processing.

这个视频，我想开始谈论第二种类型的无监督学习问题，称为降维。
In this video, I would like to start talking about a second type of unsupervised learning problem called dimensionality reduction.

在城市、道路和商户等自然环境中做文本识别，这是一个具有挑战性的计算机视觉和机器学习问题。
Text recognition in a natural environment like cities, roads and businesses is a challenging computer vision(CV) and machine learning problem.

当我们试图预测的目标变量是连续的，比如在我们的房屋例子中，我们叫该学习问题是一个回归问题。
When the target variable that we're trying to predict is continuous, the learning problem is also called a regression problem..

如果你有标记好的数据，区别好是垃圾还是非垃圾邮件，我们把这个当作监督学习问题。
If you have labeled data, you know, with spam and non-spam e-mail, we would treat this as a Supervised Learning problem.

语言发展缓慢会导致学习问题，影响学校成绩，尤其是在阅读和数学方面。
Slower language development leads to learning problems and affects school performance, especially in reading and math.