This takes a data set with known output values and USES this data set to build our model.
就是拿一组输出值已知的数据集并使用此数据集来创建我们的模型。
To properly leverage the code base in this article, we will use design best practices to build utility/data access classes.
为了正确地利用本文中的代码，我们将使用最佳设计实践来构建实用程序/数据访问类。
Are you going to build one or more data marts for point-specific solutions?
您打算为具体到点的解决方案构建一个或多个数据集市吗？
When working with a program as data, it's often useful to build a model of the program's own internal data structures to help guide your changes.
在把程序当成数据的时候，如果构建一个关于程序自身内部数据结构的模型，协助对修改进行指导，那么通常是有用的。
How are you using all that data to build a better business from within?
您如何使用所有的数据来从中构建更好的业务呢？
In Part 2, you'll learn how to build and test the sample application to detect patterns in trading data.
在第2部分中，您将了解如何构建和测试该示例应用程序，以检测交易数据中的模式。
The application server also holds the logic to dynamically build views of the data.
应用服务器上也保存了用于动态构建数据视图的逻辑。
We used these tools to build a baseline, and to collect historical data.
我们使用这些工具构建一个基准，并收集历史数据。
In San Diego, they use the data to build the virtual model of the entire fortress.
在圣地亚哥，他们用这些数据建立整个堡垒的虚拟模型。
SWIFT, the organisation that manages international bank transfers, is planning to build a data centre in neutral Switzerland.
专门管理国际银行资金转帐的SWIFT组织正计划在中立的瑞士建一数据中心。
This pattern is different from standard information integration patterns used to build data warehouses or data marts.
此模式与用于构建数据仓库或数据集市的标准信息集成模式不同。
Don't look to [build] a single canonical data model.
不要尝试[构建]一个单一的规范数据模型。
One company tried to build a general data model for a pension plan and it took them several years.
一家公司试图为一个养老金计划建立一个通用数据模型，这耗费了他们好几年的工夫。
This article, the first in a two-part series, illustrated how to build a single data flow that uses an XML-based source table to populate two target data warehouse tables.
本文是一个分两部分的系列的第一篇文章，文中阐述了如何构建一个数据流，该数据流使用一个基于 XML 的源表填充两个目标数据仓库表。
As you will see later in this article, all it takes to build a simple data base application is eight steps.
在本文后续部分您将看到，构建一个简单的数据库应用程序只需要八个步骤。
Use an automated build management system to capture the required data for you.
使用自动的构建管理系统为您获取所需的数据。
Rather than define a generic data model based on the XML syntax, the parser relies on the application programmer to build a tailor-made data model.
只不过这种方法不根据xml语法定义通用的数据模型，其解析器依赖应用程序程序员建立定制的数据模型。
At the end of this introduction, you should be able to use the text processing utilities, pipes, and streams to build complex data crunching systems.
读完本文，您将能够使用这些文本处理实用程序、管道和流来构建复杂的数据处理系统。
Array structures returned from these methods are used to build our data model.
我们使用这些方法返回的数组结构构建我们的数据模型。
The idea of tapping web-based data to build a real-time measure of users' emotions and preferences is not new.
通过输入网络为基础的数据来建立一个使用者情绪和偏好的实时测量工具并不是新点子。
Next, you will build the containers required to contain the data the process is receiving and sending.
下一步，您需要创建容器来保存流程收到及要发送的数据。
In such cases, writing a program to build static data tables is usually your best answer.
在这种情况中，编写一个程序来构建一张静态表通常是最好的解决方案。
We'll see that it's actually quite straightforward to build a data warehouse in an evolutionary manner when we discuss the Construction phase below.
我们将会看到，在下面讨论构造阶段时，实际上相当直接地采用渐进的方法构建数据仓库。
Do not underestimate the effort required to build a reliable and repeatable connection to the replicated data.
不要低估构建到复制数据的可靠且可重复的连接所需的工作。
The new data services design wizard enables new users to build and test services with relational data sources.
新的数据服务设计向导使用户可以用关系数据源构建并测试服务。
In this article, you'll learn how to build a thread-safe data repository for keeping auto-saved form data.
在本文中，您将学习如何构建线程安全的数据存储库来自动保存表单数据。
One of the most striking examples arose as the team attempted to build a data model for meter readings.
最惊人的例子之一出现在团队为仪表读数构建数据模型时。
Build a form data provider to supply form data to the control.
构建表单数据提供程序来为此控件提供表单数据。
The parser issues callbacks to the application to build the data model, as discussed before, but the parser is in control.
前面已经提到，解析器回调应用程序以建立数据模型，解析器处于控制地位。
Data collected from HEADS may be used to build better protective systems and to establish a body of data to accelerate research for the diagnosis and treatment of mild traumatic brain injury.
由HEADS搜集的数据可被用于建立更好的保护系统，以及建立相关的数据集以促进对轻微外伤性脑部损伤的诊断和治疗。
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