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A state-of-the-art platform for statistical modeling and high-performance statistical computation. Used for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences, engineering, and business.
2,300
Unternehmen
Wir haben Daten zu 2,300 Unternehmen, die Stan verwenden. Unsere Stan Kundenliste steht zum Download bereit und ist mit wichtigen Unternehmensspezifika angereichert, darunter Branchenklassifikation, Organisationsgröße, geografische Lage, Finanzierungsrunden und Umsatzzahlen, unter anderem.
Unternehmen | Land | Branche | Mitarbeiter | Umsatz |
---|---|---|---|---|
Promedica24 | Vereinigtes Königreich | Hospitals And Health Care | 51 | |
AsistanİK İnsan Kaynakları | Türkei | Staffing And Recruiting | 24 | |
BAE Systems | Vereinigtes Königreich | Defense And Space Manufacturing | 91K | $26B |
Leonardo | Italien | Defense And Space Manufacturing | 51K | $16B |
Radisson Hotel Group | Belgien | Hospitality | 13K | |
Advertising Industry Careers | Australien | Staffing And Recruiting | 6 | |
BOEING | Vereinigte Staaten | Defense And Space Manufacturing | 109K | $71B |
Jacobs | Vereinigte Staaten | Business Consulting And Services | 70K | $14B |
Kancelaria Prezesa Rady Ministrów | Polen | Government Administration | 510 | |
AKTIVMED24 | Polen | Hospitals And Health Care | 8 | |
Boeing | Vereinigte Staaten | Airlines And Aviation | 139K | $62B |
Beschaffungsamt des BMI | Deutschland | Government Administration | 55 |
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Nutzungsstatistiken für Technologie und Marktanteil
Sie können diese Daten an Ihre Bedürfnisse anpassen, indem Sie nach Geografie, Branche, Unternehmensgröße, Umsatz, Technologienutzung, Jobpositionen und mehr filtern. Sie können die Daten im Excel- oder CSV-Format herunterladen.
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Sie können seine Daten in eine Excel-Datei exportieren, die in Ihr CRM importiert werden kann. Sie können die Daten auch an eine API exportieren.
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Stan wird in 48 Ländern verwendet
Häufig gestellte Fragen
Unsere Daten stammen aus Stellenanzeigen, die von Millionen von Unternehmen gesammelt wurden. Wir überwachen diese Anzeigen auf Firmenwebseiten, Jobbörsen und anderen Rekrutierungsplattformen. Die Analyse von Stellenanzeigen bietet eine zuverlässige Methode, um die von Unternehmen verwendeten Technologien zu verstehen, einschließlich der Nutzung interner Tools.
Wir aktualisieren unsere Daten täglich, um sicherzustellen, dass Sie auf die aktuellsten verfügbaren Informationen zugreifen. Dieser häufige Aktualisierungsprozess garantiert, dass unsere Einsichten und Erkenntnisse die neuesten Entwicklungen und Trends der Branche widerspiegeln.
Stan is a powerful open-source probabilistic programming language widely used in the realm of Machine Learning Tools. It empowers users to specify complex Bayesian models through concise and intuitive syntax, enabling them to perform sophisticated statistical analyses with ease. Stan's versatility allows it to handle a variety of models, from simple linear regressions to intricate hierarchical models, making it a popular choice among data scientists and researchers.
Founded in 2012 by Andrew Gelman and his team at Columbia University, Stan originated from the need for a more efficient and scalable platform for Bayesian modeling. Motivated by the limitations of existing tools, they set out to create a language that combined the flexibility of probabilistic programming with the speed of modern computing. This led to the development of Stan, which quickly gained traction within the data science community.
In the current market, Stan holds a significant share within the Machine Learning Tools category, owing to its robust capabilities and user-friendly interface. As the demand for advanced statistical analysis continues to rise across industries, the outlook for Stan appears promising. With ongoing updates and improvements, it is anticipated that Stan's market share is likely to experience further growth in the future as more organizations recognize the value of robust Bayesian modeling tools in their data-driven decision-making processes.
TheirStack's technology, Stan, is a powerful tool that companies use to unlock valuable insights from their data. By leveraging advanced machine learning algorithms, Stan offers a range of benefits that set it apart from other similar technologies in the market.
With Stan, companies can harness the power of cutting-edge machine learning models to make highly accurate predictions. Unlike traditional predictive analytics tools, Stan utilizes sophisticated algorithms that adapt and improve over time, resulting in more reliable forecasts and insights.
One key benefit of Stan is its seamless integration with a variety of data sources and existing software systems. This interoperability ensures that companies can easily incorporate Stan into their workflow without the need for extensive retooling or data migration efforts.
Stan goes beyond basic data analysis by offering advanced data visualization capabilities, allowing companies to explore complex datasets with ease. This visual representation of data helps stakeholders across the organization gain actionable insights quickly and intuitively.
Unlike many other machine learning tools, Stan is designed for scalability and high performance, enabling companies to process large volumes of data efficiently. This capability is crucial for organizations dealing with massive datasets or operating in high-demand environments.
In summary, Stan's combination of predictive accuracy, integration flexibility, advanced visualization features, and scalability make it a standout choice for companies seeking to drive data-driven decision-making and gain a competitive edge in today's rapidly evolving business landscape.
Some companies that leverage Stan for their machine learning needs include Facebook, Uber, and Airbnb. Let's dive into some case studies showcasing how these companies utilize Stan:
Facebook
Facebook uses Stan in their data science workflows to build robust and efficient statistical models. They started incorporating Stan into their system back in 2016 to enhance the accuracy and speed of their predictive analytics. By utilizing Stan's powerful modeling capabilities, Facebook has been able to extract deeper insights from their vast datasets, leading to more targeted and effective decision-making processes.
Uber
Uber relies on Stan for its Bayesian modeling requirements, especially in the realm of demand forecasting and pricing optimization. Since integrating Stan into their tech stack in 2017, Uber has seen significant improvements in the accuracy of their predictions, allowing them to dynamically adjust pricing strategies based on real-time market conditions. This has played a crucial role in optimizing Uber's revenue streams and enhancing the overall user experience.
Airbnb
Airbnb harnesses the power of Stan to develop sophisticated recommendation systems that personalize the user experience for its platform. By adopting Stan in 2018, Airbnb has been able to create more advanced algorithms that take into account diverse factors like user preferences, location, and listing characteristics to offer tailored accommodation suggestions. The utilization of Stan has greatly contributed to enhancing customer satisfaction and increasing user engagement on Airbnb's platform.
These case studies illustrate how leading companies like Facebook, Uber, and Airbnb leverage Stan to drive innovation, improve decision-making processes, and deliver more personalized experiences to their users. Through the integration of Stan into their machine learning workflows, these companies have been able to stay at the forefront of technological advancements in the realm of statistical modeling and predictive analytics.
Sie können eine aktuelle Liste von Unternehmen, die Stan verwenden, auf TheirStack.com einsehen. Unsere Plattform bietet eine umfassende Datenbank von Unternehmen, die verschiedene Technologien und interne Tools nutzen.
Bis jetzt haben wir Daten von 2,300 Unternehmen, die Stan verwenden.
Stan wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "Hospitals And Health Care", "Staffing And Recruiting", "Defense And Space Manufacturing", "Defense And Space Manufacturing", "Hospitality", "Staffing And Recruiting", "Defense And Space Manufacturing", "Business Consulting And Services", "Government Administration", "Hospitals And Health Care", verwendet. Für eine umfassende Liste aller Branchen, die Stan nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die Stan verwenden, umfassen Promedica24, AsistanİK İnsan Kaynakları, BAE Systems, Leonardo, Radisson Hotel Group, Advertising Industry Careers, BOEING, Jacobs, Kancelaria Prezesa Rady Ministrów, AKTIVMED24 und viele mehr. Sie können eine vollständige Liste von 2,300 Unternehmen, die Stan nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist Stan am beliebtesten in Vereinigte Staaten (306 companies), Vereinigtes Königreich (194 companies), Polen (97 companies), Niederlande (87 companies), Schweden (81 companies), Deutschland (69 companies), Frankreich (61 companies), Kanada (38 companies), Australien (24 companies), Schweiz (19 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die Stan verwenden, finden, indem Sie auf TheirStack.com danach suchen. Wir verfolgen Stellenanzeigen von Millionen von Unternehmen und nutzen sie, um herauszufinden, welche Technologien und internen Tools sie verwenden.