Question 1

这些数据的来源是什么?

Accepted Answer

我们的数据来自于从数百万家公司收集的招聘信息。我们在公司网站、招聘平台和其他招聘平台上监控这些招聘信息。分析招聘信息提供了一种可靠的方法来了解公司正在使用的技术，包括他们使用的内部工具。

Question 2

数据多久更新一次?

Accepted Answer

我们每天更新数据，以确保您访问的是最新的可用信息。这一频繁的更新过程保证了我们的洞察力和情报反映了行业内的最新发展和趋势。

Question 3

什么是Stan?

Accepted Answer

Stan is a powerful opensource 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 Stans 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 userfriendly 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 Stans market share is likely to experience further growth in the future as more organizations recognize the value of robust Bayesian modeling tools in their datadriven decisionmaking processes

Question 4

如何获得使用Stan的公司的最新列表？

Accepted Answer

您可以访问 TheirStack.com，获取使用 Stan 的公司更新名单。我们的平台提供了一个全面的数据库，涵盖了使用各种技术和内部工具的公司。

Question 5

Stan 有多少客户？

Accepted Answer

截至目前，我们拥有关于 7,953 家使用 Stan 的公司的数据。

Question 6

谁在使用Stan?

Accepted Answer

Stan 被广泛应用于包括 "Restaurants", "Hospitals and Health Care", "Broadcast Media Production and Distribution", "Business Consulting and Services", "Hospitality", "Technology, Information and Internet", "Transportation, Logistics, Supply Chain and Storage", "Defense and Space Manufacturing", "IT Services and IT Consulting", "Retail" 在内的各个行业的各种组织中。欲了解所有使用 Stan 的行业的完整列表，请访问 TheirStack.com。

Question 7

哪些公司使用Stan?

Accepted Answer

一些使用Stan的公司包括McDonald's, Promedica24, Nine, Jacobs, Strawberry, Praca.pl, Poczta Polska, BAE Systems, Łódzki Klaster ICT, H&M以及更多公司。您可以在TheirStack.com上找到使用Stan的7,953家公司完整列表。

Question 8

哪些国家使用Stan最多？

Accepted Answer

根据我们的数据，Stan 在 波兰 (956 companies), 美国 (662 companies), 瑞典 (592 companies), 英国 (415 companies), 荷兰 (162 companies), 德国 (146 companies), 法国 (134 companies), 加拿大 (57 companies), 瑞士 (46 companies), 澳大利亚 (41 companies) 最受欢迎。然而，它被全世界的公司所使用。

Question 9

如何找到使用Stan的公司？

Accepted Answer

您可以在TheirStack.com上搜索Stan，来找到使用该技术的公司。我们跟踪数百万家公司的招聘信息，并借此发现他们正在使用的技术和内部工具。

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使用 Stan 的公司

如何针对Stan用户进行定位

Stan 替代品和竞争对手

TensorFlow

PyTorch

scikit-learn

ML Flow

MLflow

Microsoft LUIS

ENorm

Amazon SageMaker

CUDA

Neuro

Kubeflow

Azure Machine Learning

Lateral

Amazon Machine Learning

Streamlit

NLTK

Caffe

Propel

Amazon Text to Speech

Perplexity

Appen

Kur

Ludwig

IBM Watson

Aquarium

Fritz

Document AI

Apache MXNet

MXNet

Lamina

Renate

Amazon Textract

Clipper

Google AI Platform

Igel

Tensorflow Lite

Bard AI

Amazon Comprehend

DeepSpeed

Weka

Microsoft Cognitive Services

Manifold

Apache Spark MLlib

Gradio

OpenVINO

Amazon Kendra

Hummingbird

GraphRAG

Run:ai

ML Kit