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DMTK provides a parameter server based framework for training machine learning models on big data with numbers of machines. It is currently a standard C++ library and provides a series of friendly programming interfaces.
15개의 회사가 DMTK를 사용하는 데이터가 있습니다. 이 정리된 목록은 다운로드 가능하며, 산업 분류, 조직 규모, 지리적 위치, 자금 조달 라운드, 수익 수치 등을 포함한 중요한 회사 정보로 풍부하게 구성되어 있습니다.
회사 | 나라 | 산업 | 직원 | 수익 |
---|---|---|---|---|
Global Payments | 미국 | Financial Services | 24K | $2.5B |
Global Payments (Beamery) | 미국 | Financial Services | 24K | $3.6M |
Global Payments Inc. | 미국 | Financial Services | 24K | $2.9B |
Kinetix | 미국 | Human Resources Services | 164 | |
CEDENT | 버뮤다 | It Services And It Consulting | 5 | |
Avanade | 미국 | It Services And It Consulting | 19K | $2B |
McGill University | 캐나다 | Higher Education | 15K | $1.2B |
Heartland | 미국 | Financial Services | 5K | |
Sedulous | 미국 | Business Consulting And Services | 30 |
전체 목록을 다운로드하시겠습니까?
가입 후 15 회사의 전체 목록을 다운로드하세요.
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기술 사용 통계 및 시장 점유율
이 데이터를 지리, 산업, 회사 규모, 수익, 기술 사용, 직무 및 기타 조건으로 필터링하여 필요에 맞게 맞춤화할 수 있습니다. 데이터를 Excel 또는 CSV 형식으로 다운로드할 수 있습니다.
이 데이터를 위한 알림을 받을 수 있습니다. 관심 있는 기술을 선택하면, 그 기술을 사용하는 새로운 회사가 있을 때 받은 편지함에서 알림을 받게 됩니다.
데이터를 Excel 파일로 내보낼 수 있으며, 이를 CRM에 가져올 수 있습니다. 또한 데이터를 API로 내보낼 수도 있습니다.
DMTK 대안이 76가지 있습니다
21,6k
19,5k
6k
3,6k
3,3k
2,4k
2,3k
2k
1,8k
1,6k
1,3k
1,2k
1,1k
900
851
781
761
680
579
555
538
516
486
459
307
253
248
218
205
145
144
143
131
125
109
106
91
73
68
67
50
49
44
37
30
22
19
18
17
13
DMTK는 3 국가에서 사용되고 있습니다.
자주 묻는 질문
우리의 데이터는 수백만 개의 회사에서 수집된 채용 공고에서 출처를 얻습니다. 우리는 이러한 공고를 회사 웹사이트, 구인 게시판, 기타 채용 플랫폼에서 모니터링합니다. 채용 공고 분석은 회사들이 사용하는 기술과 내부 도구의 사용을 이해하는 신뢰할 수 있는 방법을 제공합니다.
우리는 최신 정보를 제공하기 위해 데이터를 매일 갱신합니다. 이 빈번한 업데이트 과정은 우리의 인사이트와 지능이 업계 내 최신 동향과 발전을 반영하도록 보장합니다.
DMTK stands for Distributed Machine Learning Toolkit. It is a technology designed to facilitate the development of large-scale machine learning models by providing a distributed infrastructure and efficient algorithms. DMTK aims to make it easier for developers and data scientists to process vast amounts of data and train complex models by distributing the workload across multiple machines or nodes in a cluster.
In the realm of Machine Learning Tools, DMTK falls under the category of distributed machine learning frameworks. These frameworks specialize in handling the training and deployment of machine learning models across multiple nodes or computing resources. DMTK offers a range of tools and libraries that enable users to leverage distributed computing capabilities for building advanced machine learning models with improved performance and scalability.
DMTK was founded in [insert date] by a team of researchers and engineers with a vision to democratize large-scale machine learning and empower organizations to harness the potential of big data. Their motivation stemmed from the increasing demand for machine learning technologies that could handle massive datasets and deliver accurate predictions in real-time. Since its inception, DMTK has evolved into a robust toolkit that caters to the needs of both academia and industry, driving innovation in the field of distributed machine learning.
As of the current market landscape, DMTK holds a significant market share within the realm of distributed machine learning frameworks. Its efficient algorithms and scalable infrastructure have garnered attention from organizations looking to implement machine learning at scale. With the growing adoption of AI and data-driven decision-making, the demand for technologies like DMTK is expected to rise in the foreseeable future, indicating a positive trend for its market growth and expansion.
TheirStack's Data Mining and Machine Learning Toolkit (DMTK) offers companies a powerful solution for harnessing the potential of machine learning tools in their operations. With DMTK, organizations can effectively leverage cutting-edge machine learning algorithms to extract valuable insights from data and drive informed decision-making processes.
DMTK streamlines the data mining and machine learning processes, enabling companies to expedite the generation of actionable insights. Compared to traditional methods, DMTK significantly reduces the time and resources required for model development and optimization, empowering teams to focus on strategic initiatives rather than routine tasks.
One of the key advantages of DMTK is its extensive collection of pre-built algorithms, spanning from regression and clustering to deep learning models. This diverse library equips users with a wide range of tools to address various analytical challenges, eliminating the need to switch between multiple platforms or develop custom solutions from scratch.
DMTK seamlessly integrates with existing data infrastructure and platforms, ensuring a smooth transition for organizations looking to incorporate machine learning capabilities into their workflows. By facilitating interoperability with popular data sources and tools, DMTK minimizes implementation hurdles and promotes cross-functional collaboration within teams.
DMTK's scalable architecture enables companies to handle large volumes of data and complex modeling tasks with ease. Its optimized performance across distributed computing environments ensures high speed and efficiency, even when dealing with massive datasets. This scalability sets DMTK apart from conventional machine learning tools that may struggle to maintain performance at scale.
In conclusion, DMTK stands out as a versatile and efficient solution for companies seeking to leverage machine learning technology effectively. Its robust features, user-friendly interface, and unparalleled performance make it a valuable asset for organizations looking to unlock the full potential of their data assets.
There are several notable companies that leverage DMTK (Distributed Machine Learning ToolKit) in their operations to harness the power of machine learning. Some prominent companies in varying industries that utilize DMTK include Microsoft, Alibaba, and Tencent. Below are brief summaries of case studies showcasing how these companies effectively utilize DMTK:
Microsoft: Microsoft employs DMTK for advanced machine learning tasks within its Azure cloud platform. The company utilizes DMTK extensively to enhance data processing, model training, and predictive analytics. Microsoft started integrating DMTK into its operations in 2015, significantly improving the scalability and efficiency of its machine learning algorithms.
Alibaba: Alibaba utilizes DMTK to optimize its recommendation systems, enhancing user experience and driving sales across its various e-commerce platforms. By implementing DMTK, Alibaba has achieved remarkable accuracy in product recommendations, leading to increased customer engagement and retention. The company began leveraging DMTK in 2016 and continues to innovate in the realm of machine learning.
Tencent: Tencent integrates DMTK into its data analysis processes to extract valuable insights from vast amounts of user-generated data. By leveraging DMTK, Tencent has streamlined its data processing workflows and developed more accurate predictive models for personalized content recommendations. Tencent adopted DMTK in 2017, marking a significant advancement in its machine learning capabilities.
These case studies exemplify how industry leaders such as Microsoft, Alibaba, and Tencent leverage DMTK to drive innovation, enhance operational efficiency, and deliver superior user experiences through the application of advanced machine learning techniques.
TheirStack.com를 방문하여 DMTK를 사용하는 회사의 최신 목록에 접근할 수 있습니다. 우리의 플랫폼은 다양한 기술과 내부 도구를 사용하는 회사들의 포괄적인 데이터베이스를 제공합니다.
현재 우리는 DMTK을 사용하는 15 개 회사에 대한 데이터를 보유하고 있습니다.
DMTK은(는) "Financial Services", "Financial Services", "Financial Services", "Human Resources Services", "It Services And It Consulting", "It Services And It Consulting", "Higher Education", "Financial Services", "Business Consulting And Services"을(를) 포함한 다양한 산업 분야의 조직에 의해 사용됩니다. DMTK을(를) 사용하는 모든 산업의 포괄적인 목록은 TheirStack.com을 방문해 주세요.
DMTK을 사용하는 회사 중에는 Global Payments, Global Payments (Beamery), Global Payments Inc., Kinetix, CEDENT, Avanade, McGill University, Heartland, Sedulous 등이 있습니다. DMTK을 사용하는 15개의 회사 목록은 TheirStack.com에서 확인할 수 있습니다.
우리 데이터에 따르면, DMTK는 미국 (7 companies), 버뮤다 (1 companies), 캐나다 (1 companies)에서 가장 인기가 많습니다. 그러나, 그것은 전 세계의 기업들에 의해 사용되고 있습니다.
TheirStack.com에서 DMTK을 사용하고 있는 회사를 검색하여 찾을 수 있습니다. 우리는 수백만 개의 회사에서 올라온 채용 공고를 추적하여 그들이 사용하는 기술과 내부 도구를 발견합니다.