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It is a suite of visual diagnostic tools called "Visualizers" that extend the scikit-learn API to allow human steering of the model selection process. In a nutshell, it combines scikit-learn with matplotlib in the best tradition of the scikit-learn documentation, but to produce visualizations for your machine learning workflow.
73개의 회사가 Yellowbrick를 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 |
---|---|---|---|---|
Yellowbrick Data | 미국 | Software Development | 180 | $24M |
Amex | 미국 | Financial Services | 79K | $55B |
Factor IT | 브라질 | It Services And It Consulting | 2 | |
Oak Street Health | 미국 | Hospitals And Health Care | 4K | |
ACI Worldwide | 미국 | Software Development | 5K | $1.4B |
Bread Financial | 미국 | Financial Services | 5K | $110M |
American Express | 미국 | Financial Services | 77K | $55B |
Neoris | 미국 | It Services And It Consulting | 4.9K | $300M |
CDW | 미국 | It Services And It Consulting | 18K | $24B |
GlobalLogic | 미국 | Software Development | 30K | $1.5B |
Proud People | 네덜란드 | Staffing And Recruiting | 23 | |
GDK Services LLC | 미국 | It Services And It Consulting | 33 |
전체 목록을 다운로드하시겠습니까?
가입 후 73 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.
Yellowbrick는 13 국가에서 사용되고 있습니다.
Yellowbrick 대안이 76가지 있습니다
21,6k
19,5k
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2,4k
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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.
Yellowbrick is a powerful technology tool within the machine learning category that provides visualization capabilities to aid data scientists and machine learning practitioners in building and refining their models. Developed as an open-source project, Yellowbrick offers a suite of visual diagnostic tools that seamlessly integrate with popular machine learning libraries such as scikit-learn. These visualizations help users gain insights into their model's performance, feature importance, and decision-making processes, ultimately enhancing the interpretability and explainability of machine learning algorithms.
Founded by the team at District Data Labs, Yellowbrick emerged as a solution to the growing need for improved model interpretability in the machine learning community. The developers were motivated by the challenge of making complex machine learning models more transparent and understandable, bridging the gap between model accuracy and interpretability. Since its inception, Yellowbrick has gained significant traction among data scientists and researchers looking to enhance their machine learning workflows with insightful visualizations.
In terms of current market share within the machine learning tools category, Yellowbrick has established itself as a trusted resource for visualizing and interpreting machine learning models. With the increasing emphasis on model transparency and explainability in the industry, Yellowbrick is positioned to experience growth in market adoption. As more organizations prioritize interpretability in their machine learning processes, Yellowbrick's user-friendly visualizations and comprehensive toolkit are likely to attract a larger user base and expand its market share in the coming years.
TheirStack's Yellowbrick technology is a popular choice among companies looking to leverage advanced machine learning tools for strategic business growth. Yellowbrick offers a wide range of benefits that set it apart from other similar technologies in the market.
Yellowbrick stands out with its advanced visualization features, allowing companies to easily interpret complex machine learning models. Unlike traditional tools that offer basic visualizations, Yellowbrick provides interactive visualizations that enable more in-depth analysis and decision-making based on the generated insights.
One key advantage of Yellowbrick is its seamless integration with the Python ecosystem. This compatibility enhances workflow efficiency and flexibility, enabling companies to harness the power of machine learning within their existing Python environments without the need for extensive retooling or learning new programming languages.
Yellowbrick offers a comprehensive suite of model evaluation tools that enable companies to assess the performance of their machine learning models with precision. Compared to other technologies with limited evaluation capabilities, Yellowbrick empowers users to make data-driven decisions with confidence, leading to more accurate predictions and optimized outcomes.
With these benefits and more, Yellowbrick emerges as a top choice for companies seeking to unlock the full potential of machine learning tools for driving business success.
Yellowbrick is a popular visualization library for machine learning tools, utilized by several prominent companies to enhance their data analysis and model evaluation processes. Below are some case studies showcasing how companies have successfully integrated Yellowbrick into their operations:
1. Capital One: Capital One, a leading financial services company, implemented Yellowbrick to streamline their machine learning workflow. By leveraging Yellowbrick's rich set of visual interfaces for model diagnostics and evaluation, Capital One was able to gain deeper insights into their models' performance and make more informed decisions. They started utilizing Yellowbrick in 2017 and have since benefitted from its advanced visualization capabilities in improving their predictive modeling accuracy.
2. Spotify: Spotify, the popular music streaming platform, integrated Yellowbrick into their machine learning pipeline to optimize their recommendation systems. Using Yellowbrick's interactive visualizations for clustering and classification tasks, Spotify enhanced the efficiency of their algorithms in providing personalized music recommendations to users. Since incorporating Yellowbrick into their toolkit in 2018, Spotify has seen significant improvements in the accuracy and relevance of their recommendation engine.
3. Airbnb: Airbnb, a major online marketplace for lodging and tourism experiences, adopted Yellowbrick to enhance their pricing prediction models. By utilizing Yellowbrick's visual debugging tools for regression analysis, Airbnb was able to validate and interpret the results of their pricing algorithms more effectively. The incorporation of Yellowbrick into their machine learning process in 2019 has enabled Airbnb to refine their pricing strategies and offer competitive rates to their users.
These case studies demonstrate the diverse applications of Yellowbrick in real-world scenarios, highlighting its effectiveness in optimizing machine learning workflows and improving predictive modeling outcomes for companies across different industries.
TheirStack.com를 방문하여 Yellowbrick를 사용하는 회사의 최신 목록에 접근할 수 있습니다. 우리의 플랫폼은 다양한 기술과 내부 도구를 사용하는 회사들의 포괄적인 데이터베이스를 제공합니다.
현재 우리는 Yellowbrick을 사용하는 73 개 회사에 대한 데이터를 보유하고 있습니다.
Yellowbrick은(는) "Software Development", "Financial Services", "It Services And It Consulting", "Hospitals And Health Care", "Software Development", "Financial Services", "Financial Services", "It Services And It Consulting", "It Services And It Consulting", "Software Development"을(를) 포함한 다양한 산업 분야의 조직에 의해 사용됩니다. Yellowbrick을(를) 사용하는 모든 산업의 포괄적인 목록은 TheirStack.com을 방문해 주세요.
Yellowbrick을 사용하는 회사 중에는 Yellowbrick Data, Amex, Factor IT, Oak Street Health, ACI Worldwide, Bread Financial, American Express, Neoris, CDW, GlobalLogic 등이 있습니다. Yellowbrick을 사용하는 73개의 회사 목록은 TheirStack.com에서 확인할 수 있습니다.
우리 데이터에 따르면, Yellowbrick는 미국 (34 companies), 인도 (10 companies), 프랑스 (2 companies), 이탈리아 (2 companies), 영국 (2 companies), 오스트레일리아 (1 companies), 브라질 (1 companies), 캐나다 (1 companies), 콜롬비아 (1 companies), 홍콩 (1 companies)에서 가장 인기가 많습니다. 그러나, 그것은 전 세계의 기업들에 의해 사용되고 있습니다.
TheirStack.com에서 Yellowbrick을 사용하고 있는 회사를 검색하여 찾을 수 있습니다. 우리는 수백만 개의 회사에서 올라온 채용 공고를 추적하여 그들이 사용하는 기술과 내부 도구를 발견합니다.