LARGE DATASETS in Chinese translation

• 大型数据集
• 大数据集
• 大的数据集
• 庞大的数据集
• 大量的数据集
• 大规模数据集
• 较大的数据集

Examples of using Large datasets in English and their translations into Chinese

Works better on small data: To achieve high performance, deep networks require extremely large datasets.
在小数据上能更好地工作：为了实现高性能，深度学习需要非常大的数据集。

The paper says that selecting 5-20 words works well for smaller datasets, and you can get away with only 2-5 words for large datasets.
论文中说5-20个词适合小数据集，2-5个词适合大数据集。

Unlike the face and body, large datasets do not exist of hand images that have been annotated with labels of parts and positions.
与面部和身体不同，大型数据集不存在手部图像，这些图像使用部件和位置标签进行了费力的注释。

With data increasing globally, the term“Big Data” is mainly used to describe large datasets.
在全球数据爆炸性增长的情况下，大数据这个术语主要用来代表大数据集。

Seeing that MapReduce is about permanent storage, it stores data on disk, which means it can handle large datasets.
因为MapReduce是关于永久存储的，它将数据存储在磁盘上，这意味着它能解决大型数据集。

Pig Latin: A data flow language and execution environment for exploring very large datasets.
Pig:一种数据流语言和运行环境，用以检索非常大的数据集。

Also, I strongly recommend that you individually compress the load files using gzip, lzop, or bzip2 to efficiently load large datasets.
另外，强烈建议您使用gzip、lzop或bzip2对加载文件进行单独压缩，以有效地加载大型数据集。

Since the run-time does not depend directly on the size of the training set, the resulting algorithm is especially suited for learning from large datasets.
由于运行时间不直接依赖于训练集的大小，因此得到的算法特别适合于从大型数据集学习。

Learn Data Analysis in three courses designed to give someone the basics of analysis through to the ability to manipulate and query large datasets.
在三门课程中学习数据分析，旨在为某人提供分析的基础知识，以及操作和查询大型数据集的能力。

Another challenge is the requirements to validate a deep learning system for clinical implementation, which would likely require multi-institutional collaboration and large datasets.
另一个挑战是验证用于临床实施的深度学习系统的需求，这可能需要多机构协作和大型数据集。

BigQuery BigQuery is a RESTful web service that enables interactive analysis of massively large datasets working in conjunction with Google Storage.
BigQuery是一个RESTful的Web服务，可以对与GoogleStorage结合使用的大型数据集进行交互式分析。

Once input data is imported or placed into HDFS then the Hadoop cluster can be used to convert large datasets in parallel.
一旦输入数据被导入或放置到HDFS中，之后Hadoop集群可以被用于并行转换大型数据集。

This work is another example of how machine learning can help scientists, especially when faced with tasks involving large datasets.
这项工作是机器学习如何帮助科学家的另一个例子，尤其是在面对涉及大型数据集的任务时。

Google BigQuery is a RESTful web service that enables interactive analysis of massively large datasets working in conjunction with Google Storage.
BigQuery是一个RESTful的Web服务，可以对与GoogleStorage结合使用的大型数据集进行交互式分析。

However, due to its instability, successfully RL training is challenging, especially in real-world systems where deep models and large datasets are leveraged.
但是，由于不稳定，成功完成强化学习训练是很困难的，尤其是在使用了深度模型和大型数据集的现实世界系统中。

However, deep learning methods require large datasets, which aren't readily available in areas such as medical imaging and robotics.
但是，深度学习方法需要大量数据，而这在医疗成像、机器人学等领域中并不容易获取。

The blockchain is particularly good at managing large datasets over complex global networks, and that is precisely what the food supply chain is demanding.
区块链特别擅长管理复杂全球网络上的大型数据集，这正是食品供应链所要求的。

Creating large datasets of labeled samples is very time consuming and requires extensive human effort.
创建带有标记样本的大数据非常耗时,同时也需要大量的人力。

Storing large datasets in a single location makes that repository a very attractive target for hackers.
将大型数据集存储在一个位置使得该存储库成为黑客非常有吸引力的目标。

For many applications, such large datasets are not readily available and will be expensive and time consuming to acquire.
对于许多应用来说，这样的大数据集并不容易获得，并且花费昂贵且耗时。