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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.
73
aziende
Abbiamo dati su 73 aziende che usano Yellowbrick. La nostra lista di clienti Yellowbrick è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
Yellowbrick Data | Stati Uniti | Software Development | 180 | $24M |
Amex | Stati Uniti | Financial Services | 79K | $55B |
Factor IT | Brasile | It Services And It Consulting | 2 | |
Oak Street Health | Stati Uniti | Hospitals And Health Care | 4K | |
ACI Worldwide | Stati Uniti | Software Development | 5K | $1.4B |
Bread Financial | Stati Uniti | Financial Services | 5K | $110M |
American Express | Stati Uniti | Financial Services | 77K | $55B |
Neoris | Stati Uniti | It Services And It Consulting | 4.9K | $300M |
CDW | Stati Uniti | It Services And It Consulting | 18K | $24B |
GlobalLogic | Stati Uniti | Software Development | 30K | $1.5B |
Proud People | Paesi Bassi | Staffing And Recruiting | 23 | |
GDK Services LLC | Stati Uniti | It Services And It Consulting | 33 |
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Yellowbrick è utilizzata in 13 paesi
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I nostri dati provengono da offerte di lavoro raccolte da milioni di aziende. Monitoriamo queste offerte sui siti web delle aziende, sui portali di lavoro e su altre piattaforme di reclutamento. Analizzare le offerte di lavoro offre un metodo affidabile per comprendere le tecnologie impiegate dalle aziende, inclusi i loro strumenti interni.
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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.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Yellowbrick visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 73 aziende che utilizzano Yellowbrick.
Yellowbrick è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "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". Per un elenco completo di tutti i settori che utilizzano Yellowbrick, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Yellowbrick includono Yellowbrick Data, Amex, Factor IT, Oak Street Health, ACI Worldwide, Bread Financial, American Express, Neoris, CDW, GlobalLogic e molte altre. Puoi trovare un elenco completo di 73 aziende che utilizzano Yellowbrick su TheirStack.com.
Secondo i nostri dati, Yellowbrick è più popolare in Stati Uniti (34 companies), India (10 companies), Francia (2 companies), Italia (2 companies), Regno Unito (2 companies), Australia (1 companies), Brasile (1 companies), Canada (1 companies), Colombia (1 companies), Hong Kong (1 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Yellowbrick cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.