BILLIONS OF DATA POINTS 中文是什么意思 - 中文翻译

• 的数十亿个数据点

在 英语 中使用 Billions of data points 的示例及其翻译为 中文

A Murmuration in Billions of Data Points.
数十亿个数据点.

Using billions of data points and predictive analytics to create new or specialized products.
大数据和预测分析：使用数十亿个数据点和预测分析来创建新的，或高度定制的产品。

Patterns of a Murmuration, in Billions of Data Points can be read here.
杂音模式，数十亿个数据点可以在这里阅读。

This installment of Old People Read New SFF features JY Yang's Patterns of a Murmuration, in Billions of Data Points.
这一部分的老年人阅读新的SFF功能JY杨的杂音模式，数十亿个数据点。

You put billions of data points together all the time….
你们一直把数十亿个数据点放在一起。

If there's one thing that AI does extremely well, it's taking billions of data points and making sense out of it all.
如果有一件事是人工智能做得非常好，那就是拿走了数十亿的数据点，并从中找到了意义。

For six years, billions of data points have been tracked in millions of startups worldwide.
六年来，它一直在追踪全球数百万个创企的数十亿个数据点。

That may be the next big goal for Google: building AI models that are based on billions of data points, not just millions.
那也许是谷歌下一个宏大目标：建立十亿级数据点的人工智能模型，而不是百万级的。

When you're collecting billions of data points- clicks or cursor positions on a website;
当你收集数十亿个数据点的时候-一个网站上的点击或者光标位置数据;

That may be the next big goal for Google: building AI models that are based on billions of data points, not just millions.
那可能是谷歌的下一个重大目标：建立基于数十亿而非数百万的数据点的人工智能模型。

When you're collecting billions of data points- clicks or cursor positions on a website;
当你收集数十亿个数据点的时候--个网站上的点击或者光标位置数据;

Adaptive uses technology called next-generation sequencing to read the genes of those cells and create an immune profile made up of billions of data points.
AdaptiveBiotechnologies使用他们称之为“下一代基因测序”的技术来读取这些细胞的基因，并创建一个包含数十亿数据点的免疫图谱。

It has now been tracking billions of data points across millions of startups globally for six years.
六年来，它一直在追踪全球数百万个创企的数十亿个数据点。

We use the latest Big Data technologies to process, analyze, and serve billions of data points through our APIs and web portal.
我们使用最新的大数据技术，用我们的API和WebPortal来快速处理，分析和传输数十亿数据点。

The location data contains billions of data points with no identifiable information like names or email addresses.
实际上，位置信息包含数十亿个数据点，而没有诸如姓名或电子邮件地址之类的可识别信息。

With AI-enabled IoT, companies can whittle down the billions of data points they have into truly meaningful kernels.
在有物联网的情况下，AI技术可以帮助企业将他们拥有的数十亿个数据点归结为真正有意义的信息。

It had billions of data points on customer behavior, email campaigns, and shipping logistics, but it had no way to gain timely insights.
它有着数十亿有关客户行为、电子邮件广告活动和送货物流的数据点，但却无法获得及时洞察。

In an IoT situation, AI can help bring the billions of data points down to what really makes sense.
在有物联网的情况下，AI技术可以帮助企业将他们拥有的数十亿个数据点归结为真正有意义的信息。

For example, Active IQ® uses billions of data points, predictive analytics, and powerful machine learning to deliver proactive customer support recommendations for complex IT environments.
例如，ActiveIQ®使用数十亿个数据点、预测性分析和强大的机器学习，为复杂IT环境提供主动式客户支持建议。

Plus, they're accompanied by insights informed by AI models trained on“billions” of data points, like the likelihood a given property will sell.
此外，它们还伴随着基于“数十亿”数据点的人工智能模型所提供的见解，比如某处地产出售的可能性。

And because a single tissue can yield billions of data points, it takes machine learning to figure out what to do for each new patient.
而且因为单个组织会产生几十亿个数据点，这就需要机器学习来弄明白能为每个新病人做点什么。

Machine learning functions by extracting patterns from millions- or even billions- of data points, which enables it to make decisions about new data..
机器学习通过从数百万甚至数十亿个数据点中提取模式运作，并使其能够对新数据做出决定。

In an IoT situation, AI can help companies take the billions of data points they have and boil them down to what's really meaningful.
在有物联网的情况下，AI技术可以帮助企业将他们拥有的数十亿个数据点归结为真正有意义的信息。

We don't have the mental capacity of looking at billions of data points to see what's relevant, but the software does.”.
我们没有心智能力查看数十亿个数据点，看看有什么相关，但软件确实如此。

In an IoT situation, machine learning can help companies take the billions of data points they have and boil them down to what's really meaningful.
在有物联网的情况下，机器学习可以帮助企业将他们拥有的数十亿个数据点归结为真正有意义的信息。

Then we took that real-world data- literally billions of data points- and plugged it into our generative design tool, Project Dreamcatcher.
然后，团队收集了这些实时数据，准确地说，是数十亿数据点，并把这些数据接入了我们的衍生式设计工具--ProjectDreamcatcher。

In a sense, we converted one image into billions of training data points, massively reducing the amount of data needed for training.
扩增数据点：我们将一幅图像转换成数十亿个训练数据点，大大减少了训练所需的数据量。

Machine learning algorithms can analyze billions of historical data points to identify commonalities in the behaviors and actions of customers.
机器学习算法可以分析数十亿个历史数据点，以识别客户行为和行为的共性。