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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
aziende
Abbiamo dati su 2,300 aziende che usano Stan. La nostra lista di clienti Stan 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 |
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Promedica24 | Regno Unito | Hospitals And Health Care | 51 | |
AsistanİK İnsan Kaynakları | Turchia | Staffing And Recruiting | 24 | |
BAE Systems | Regno Unito | Defense And Space Manufacturing | 91K | $26B |
Leonardo | Italia | Defense And Space Manufacturing | 51K | $16B |
Radisson Hotel Group | Belgio | Hospitality | 13K | |
Advertising Industry Careers | Australia | Staffing And Recruiting | 6 | |
BOEING | Stati Uniti | Defense And Space Manufacturing | 109K | $71B |
Jacobs | Stati Uniti | Business Consulting And Services | 70K | $14B |
Kancelaria Prezesa Rady Ministrów | Polonia | Government Administration | 510 | |
AKTIVMED24 | Polonia | Hospitals And Health Care | 8 | |
Boeing | Stati Uniti | Airlines And Aviation | 139K | $62B |
Beschaffungsamt des BMI | Germania | Government Administration | 55 |
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Statistiche sull'Uso delle Tecnologie e Quota di Mercato
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Stan è utilizzata in 48 paesi
Ci sono 76 alternative a Stan
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Domande frequenti
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.
Aggiorniamo i nostri dati quotidianamente per garantire che tu abbia accesso alle informazioni più aggiornate disponibili. Questo processo di aggiornamento frequente garantisce che le nostre intuizioni e intelligenze riflettano gli ultimi sviluppi e tendenze all'interno dell'industria.
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.
Puoi accedere a un elenco aggiornato di aziende che utilizzano Stan 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 2,300 aziende che utilizzano Stan.
Stan è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "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". Per un elenco completo di tutti i settori che utilizzano Stan, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano Stan includono Promedica24, AsistanİK İnsan Kaynakları, BAE Systems, Leonardo, Radisson Hotel Group, Advertising Industry Careers, BOEING, Jacobs, Kancelaria Prezesa Rady Ministrów, AKTIVMED24 e molte altre. Puoi trovare un elenco completo di 2,300 aziende che utilizzano Stan su TheirStack.com.
Secondo i nostri dati, Stan è più popolare in Stati Uniti (306 companies), Regno Unito (194 companies), Polonia (97 companies), Paesi Bassi (87 companies), Svezia (81 companies), Germania (69 companies), Francia (61 companies), Canada (38 companies), Australia (24 companies), Svizzera (19 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano Stan 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.