What is the translation of " 大规模机器学习 " in English?

• large-scale machine learning
• large scale machine learning

Examples of using 大规模机器学习 in Chinese and their translations into English

ClouderaOryx-实时大规模机器学习。
Cloudera Oryx is a simple real-time large-scale machine learning infrastructure.

Shogun-大规模机器学习工具箱.
SHOGUN- A large scale machine learning toolbox.

大数据分析从业人员经过培训，可以了解实时数据处理，离线数据处理方法以及大规模机器学习的实施。
Big Data engineers are trained to understand real-time data processing, offline data processing methods, and implementation of large-scale machine learning.

大规模深度学习，或者说大规模机器学习领域里一个永恒的话题就是如何通过多机分布式对训练任务进行加速。
An eternal topic in large scale deep learning, or large scale machine learning is how to accelerate training tasks through distributed computing.

MOA-实时进行大数据流挖掘和大规模机器学习。
MOA performs BIG DATA stream mining in real time, and large scale machine learning.

MapReduce和数据并行对于大规模机器学习问题而言是非常重要的概念。
Map Reduce and Data Parallelism is a very important concept in large-scale machine learning problems.

在本节中，我将介绍进行大规模机器学习的另一种方法，称为MapReduce。
So in this video I would like to talk about different approach to large scale machine learning, called the map reduce approach.

Facebook部署Caffe2旨在帮助开发人员和研究人员训练大规模机器学习模型，并在移动应用中提供AI驱动的用户体验。
Facebook is using Caffe2 to help their developers and researchers train large machine learning models and deliver AI on mobile devices.

如何大规模训练和部署深度学习》：AmeetTalwalkar讨论大规模机器学习。
How to train and deploy deep learning at scale": Ameet Talwalkar on large-scale machine learning.

目前，Hadoop集群已成为Yahoo大规模机器学习的首选平台。
These clusters have now become the preferred platform for large-scale machine learning at Yahoo.

如何大规模训练和部署深度学习》：AmeetTalwalkar讲述大规模机器学习.
How to train and deploy deep learning at scale": Ameet Talwalkar on large-scale machine learning.

Oryx2-Spark，Kafka上的Lambda架构，用于实时大规模机器学习.
Oryx 2- A specialized Apache Spark and Apache Kafka-based lambda architecture for real-time mega scale machine learning.

另一个潜在的颠覆因素将是虚拟化、人工智能、大规模机器学习的使用。
Another potential disrupter will be the increasing use of virtualization, AI, and massive machine learning.

开发和部署大规模机器学习管道》：BenRecht讲述为什么我们需要原语、管道同步工具，以及最重要的，对错误的分析和验证。
Building and deploying large-scale machine learning pipelines: why we need primitives, pipeline synthesis tools, and most importantly, error analysis and verification.

ApacheSpark、ApacheKafka上的Lambda架构，用于实时大规模机器学习。
A realization of the lambda architecture and built on Apache Kafka and Apache Spark; Oryx 2 is widely used for real-time large-scale machine learning.

他的毕业研究是处理基因调控信号的大规模机器学习方法识别。
His graduate research dealt with large-scale machine learning methods for identifying gene regulatory signals.

Oryx2采用的是ApacheSpark和ApacheKafka架构，它是一个应用开发框架，针对实时、大规模机器学习应用。
Based on the architecture of Apache Spark and Apache Kafka, Oryx 2 is an application development framework specifically designed for real-time, large-scale machine learning.

DigitalGlobe如何使用AmazonSageMaker来大规模管理机器学习.
DigitalGlobe also uses Amazon SageMaker to handle machine learning at scale.

DigitalGlobe将一切托付于AWS并使用AmazonSageMaker来大规模处理机器学习。
DigitalGlobe is all in on AWS and uses Amazon SageMaker to handle machine learning at scale.

该报告指出，大规模的机器学习研究项目应该包括「公共参与活动」方面的资金。
The report suggests that large-scale machine learning research programs should include funding for“public engagement activities.”.

当与电子病人记录系统结合的时候，大规模的机器学习技术可能应用于医疗图像数据。
When coupled with electronic patient record systems, large-scale machine learning techniques could be applied to medical image data.

在这个视频中，讨论一种新的大规模的机器学习机制，叫做在线学习机制。
In this video, I would like to talk about a new large-scale machine learning setting called the online learning setting.

HLI正在开发、应用大规模计算和机器学习来探索新发现，以实现健康革命。
HLI is developing and applying large scale computing and machine learning to make novel discoveries to revolutionize health.

HLI正在开发、应用大规模计算和机器学习来探索新发现，以实现健康革命。
HLI is developing and applying large scale computing and machine learning to make novel discoveries to revolutionize the practice of medicine.

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.

特别是，Manchett指出了ApacheSpark的广泛采用，可提供内存中的实时查询和大规模的快速机器学习。
In particular, Manchett points to the widespread adoption of Apache Spark, which provides in-memory, real-time queries and fast machine learning at scale.

分布式环境下的大规模机器学习.
Large-scale machine learning in distributed environments.

Oryx开源项目提供简单，实时的大规模机器学习/预测分析基础架构。
It is an open source project provides simple, real-time large-scale machine learning or predictive analytics infrastructure.