What is the translation of " 隐藏的模式 " in English?

• hidden patterns

Examples of using 隐藏的模式 in Chinese and their translations into English

这是找到隐藏的模式的方式，显示这些模式是如何重叠的，并显示多种模式中看到的特征。
It's a way to find hidden patterns, show how those patterns overlap and show what characteristics are seen in multiple patterns..

该团队能够发现隐藏的模式，就像不同的寄生虫在感染过程中使用它们的基因一样。
Moreover, the scientists were able to uncover hidden patterns in the way different individual parasites use their genes during infection.

无监督学习本身可以是一个目标（发现数据中隐藏的模式），或者是一种达到目的的手段（特征学习）。
Unsupervised learning can be a goal in and of itself(discovering hidden patterns in data) or a means to an end(feature learning).

无监督学习本身可以是一个目标（发现数据中隐藏的模式），或者是一种达到目的的手段（特征学习）。
Unsupervised learning can be a goal in itself(discovering hidden patterns in data) or a means towards an end.

该团队能够发现隐藏的模式，就像不同的寄生虫在感染过程中使用它们的基因一样。
The team were able to uncover hidden patterns in the way different individual parasites use their genes during an infection.

数学寻求隐藏的模式，有助于我们理解生命和我们周围的复杂问题。
Mathematics seeks hidden patterns that help us to understand life and the complex problems that surround us.

机器学习应用程序试图在大数据集的混乱中找出隐藏的模式和相关性，从而开发能够预测行为的模型。
Machine learning applications find hidden patterns and correlations in the chaos of large data sets to develop models that can predict behavior.

非监督的方法有利于发现数据中隐藏的模式,而无需对数据进行标记。
Unsupervised methods are good for discovering hidden patterns in the data without the need for labeling the data.

在其中，你会发现隐藏的模式，将边缘的试验与人类基本需求和渴望联系在一起。
From there, we uncover hidden patterns, connecting experimentation at the fringe to our fundamental human needs and desires.

无监督学习本身可以是一个目标（发现数据中隐藏的模式），或者是一种达到目的的手段（特征学习）。
Unsupervised learning can be a goal in itself(discovering hidden patterns in the data) or a means to an end(resource learning).

AI还可以执行其他人类无法完成的任务，比如证明某些数学定理或以数据的形式揭示隐藏的模式。
S can also do other useful things that humans can't, like proving certain mathematical theorems or uncovering hidden patterns in data.

通过这些技术，全球公司能够从数据中发现隐藏的模式，并使用它们预报行为。
These techniques empower companies around the globe to extract hidden patterns from data and use them to forecast behavior.

我们可以更好地了解数据，调查细微差别，发现隐藏的模式，开发新特性并制定建模策略。
We get to understand the data better, investigate the nuances, discover hidden patterns, develop new features and formulate modeling strategies.

您将掌握以有意义的方式准备和呈现数据，使用PowerBI来揭示隐藏的模式。
You will get to grips with preparing and presenting data in a meaningful way, using Power BI to reveal hidden patterns.

各种机器学习算法会筛选EMR数据库并找到隐藏的模式。
The different types of machine learning algorithms search the EMR databases and find hidden patterns.

这些工作已经发现了从入侵植物的扩散到鸟类飞行路径等诸多事物背后隐藏的模式。
Such work has uncovered hidden patterns in everything from the dispersal of invasive plants to the flight paths of birds.

最终用户还可以使用数据挖掘来构建模型，以揭示这些隐藏的模式。
End users might also use data mining to construct models to reveal these hidden patterns.

这使得大脑能够潜意识地将新信息与现有知识相结合，从而形成新颖的联系并看到隐藏的模式。
That allows the brain to subconsciously integrate new information with existing knowledge and thereby make novel connections and see hidden patterns.

几乎从现代计算机开创阶段起，神经网络算法已经被研究用于复杂数据流中辅助识别隐藏的内在模式。
Almost from the beginning of the modern computer age, neural network algorithms have been researched to help recognize deep patterns hidden in complex data streams.

事实上，无监督学习本身就是一个目标，比如发现数据中隐藏的模式，或者实现目的的手段，通常也会把无监督学习称为特征学习。
Unsupervised learning can be a goal in itself, such as discovering hidden patterns in data; or a means towards an end, often called feature learning.

大多数数据集都有隐藏的模式。
Most datasets have hidden patterns.

它可以帮助发现数据中隐藏的模式。
One way is by finding hidden patterns contained within data.

分析网络的新方法揭示了数据中隐藏的模式.
New method of analyzing networks reveals hidden patterns in data.

无监督学习可发现数据中隐藏的模式或内在结构。
Unsupervised learning finds hidden patterns or intrinsic structures in the data.

聚类分析包括应用一个或多个聚类算法，目标是在数据集中寻找隐藏的模式或分组。
Cluster analysis involves applying one or more clustering algorithms with the goal of finding hidden patterns or groupings in a dataset.

通过应用先进的统计知识和复杂的数据建模，他们必须挖掘出数据中隐藏的模式，对未来做出预测。
Through application of advanced statistics and complex data modelling they must uncover patterns and make future predictions.

通过正确的分析，大数据可以提供更丰富的见解，从多个来源和事务中抽取，以发现隐藏的模式和关系。
With the right analytics, big data can deliver richer insight since it draws from multiple sources and transactions to uncover hidden patterns and relationships.

这本书还提供了自我提高的策略，并帮助我们理解如何利用我们一天中隐藏的模式来建立理想的时间表。
He offers strategies for self-improvement and shows how we can we use hidden patterns of the day to build the ideal schedule.