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Nous disposons de données sur 393 entreprises qui utilisent Google Colab. Notre liste de clients Google Colab est disponible en téléchargement et est enrichie de spécificités essentielles de l'entreprise, y compris la classification de l'industrie, la taille de l'organisation, la localisation géographique, les tours de financement et les chiffres d'affaires, entre autres.
Entreprise | Pays | Industrie | Employés | Chiffre d'affaires |
---|---|---|---|---|
RCA | France | Software Development | 1.1K | |
Springer Nature | Allemagne | Broadcast Media Production And Distribution | 12K | $2B |
Sandav | Espagne | It Services And It Consulting | 127 | |
Porter | Inde | Software Development | 10K | $15M |
appliedAI | Inde | E-Learning Providers | 93 | |
VESTIGAS GmbH | Allemagne | Transportation, Logistics, Supply Chain And Storage | 11 | |
WorldFish | Malaisie | Research Services | 603 | $2.3M |
![]() iPullRank | États-Unis | Advertising Services | 21 | $2.4M |
foodpanda | Singapour | Internet Marketplace Platforms | 14K | $14M |
Colorado State University | États-Unis | Higher Education | 16K | |
Neurostellar | Inde | Mental Health Care | 10 | |
Technische Universität München | Allemagne | Defense And Space Manufacturing | 9.3K | $700M |
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Statistiques d'Utilisation Technologique et Part de Marché
Vous pouvez personnaliser ces données selon vos besoins en filtrant par géographie, secteur d'activité, taille de l'entreprise, revenus, utilisation de la technologie, postes de travail et plus encore. Vous pouvez télécharger les données au format Excel ou CSV.
Vous pouvez recevoir des alertes pour ces données. Vous pouvez commencer par sélectionner la technologie qui vous intéresse, puis vous recevrez des alertes dans votre boîte de réception lorsque de nouvelles entreprises utiliseront cette technologie.
Vous pouvez exporter ses données vers un fichier Excel, qui peut être importé dans votre CRM. Vous pouvez également exporter les données vers une API.
Google Colab est utilisé dans 28 pays
Il y a 8 alternatives à Google Colab
Questions fréquemment posées
Nos données proviennent d'offres d'emploi collectées auprès de millions d'entreprises. Nous surveillons ces offres sur les sites web des entreprises, les plateformes d'emploi et d'autres plateformes de recrutement. L'analyse des offres d'emploi constitue une méthode fiable pour comprendre les technologies utilisées par les entreprises, y compris l'utilisation de leurs outils internes.
Nous actualisons nos données quotidiennement pour vous garantir un accès à l'information la plus récente disponible. Ce processus de mise à jour fréquente assure que nos insights et notre intelligence reflètent les derniers développements et tendances au sein de l'industrie.
Google Colab is a cloud-based platform that allows users to write and execute Python code in a collaborative environment. It provides a free Jupyter notebook environment that runs on Google's cloud servers. With Google Colab, users can write and execute Python code, access popular libraries, and perform data analysis all in one place. This technology is widely used by data scientists, machine learning engineers, and researchers for prototyping and experimentation.
Google Colab falls under the category of Data Science Notebooks, which are interactive computing environments for data analysis, visualization, and machine learning tasks. Data Science Notebooks provide a user-friendly interface for writing code, viewing outputs, and documenting the data analysis process. These notebooks have become essential tools for data professionals to explore, analyze, and communicate insights from large datasets.
Google Colab was founded by Google in 2017 with the aim of making machine learning education and research more accessible. By providing a free, cloud-based environment with GPU support, Google Colab democratized the use of machine learning tools for individuals and organizations. The platform gained popularity for its ease of use, integration with Google Drive, and ability to leverage Google's powerful cloud infrastructure for computational tasks.
Currently, Google Colab holds a significant market share within the Data Science Notebooks category. Its user-friendly interface, integrated collaboration features, and access to GPUs have made it a preferred choice for many data professionals. With the increasing demand for data science and machine learning tools, Google Colab is poised to continue growing in market share. As more users adopt cloud-based computing environments for their data analysis workflows, Google Colab is likely to see further expansion in its user base and market dominance.
Google Colab is a powerful tool widely utilized by companies in the realm of Data Science Notebooks for its array of benefits. One of the primary reasons companies opt for Google Colab is its convenient cloud-based nature, which eliminates the need for extensive setup and allows for seamless collaboration among team members regardless of their physical location.
Benefits of Google Colab include:
Google Colab provides an integrated environment that comes pre-installed with popular libraries and frameworks such as TensorFlow and PyTorch. This eliminates the hassle of manual installations, saving time and ensuring a smoother workflow compared to setting up environments locally.
Google Colab offers free cloud computing resources, enabling users to leverage powerful GPUs and TPUs without incurring additional costs. This accessibility to high-performing computing resources sets Google Colab apart from traditional on-premise solutions that require significant investments.
With Google Colab, teams can effortlessly collaborate on projects in real-time by sharing notebooks and code snippets. This collaborative feature enhances productivity and fosters a cohesive work environment, which may be challenging to achieve with standalone notebook applications.
Google Colab integrates seamlessly with Google Drive, allowing for easy version control and sharing of projects. This feature enhances transparency and ensures that team members are always working with the most up-to-date versions of notebooks, promoting efficient project management.
By leveraging Google Colab, companies can enhance their data science workflows, facilitate teamwork, and harness the power of cloud computing without the complexities associated with traditional setups.
Google Colab is widely used by various companies in the data science industry to collaborate on projects, analyze data, and run machine learning models efficiently. Below are some notable case studies of companies successfully leveraging Google Colab for their data science initiatives:
1. Airbnb: Airbnb, the global online marketplace for lodging, started using Google Colab to streamline their data analysis processes in 2018. The company utilized Colab's integration with Google Drive to share notebooks across teams and leverage its built-in support for popular libraries like TensorFlow and scikit-learn. By using Google Colab, Airbnb's data scientists were able to collaborate more effectively, experiment with different models, and accelerate their machine learning workflows.
2. Uber: Uber, the multinational ride-hailing company, adopted Google Colab as a key tool for their data science team in 2017. Uber utilized Colab's cloud-based environment to train large-scale machine learning models on its vast datasets. By leveraging Colab's GPU support and easy sharing capabilities, Uber's data scientists were able to prototype and deploy advanced algorithms faster, leading to notable improvements in their operational efficiency and data-driven decision making.
3. Spotify: Spotify, the popular music streaming service, integrated Google Colab into its data science workflow in 2019. Spotify's team utilized Colab's interactive Python notebooks to analyze user behavior, optimize personalized recommendations, and enhance music content curation. With Colab's seamless integration with Google Cloud services, Spotify could scale their data processing capabilities and experiment with cutting-edge machine learning techniques, ultimately improving user engagement and satisfaction.
These case studies highlight how leading companies like Airbnb, Uber, and Spotify harness the power of Google Colab to drive innovation, collaboration, and efficiency in their data science endeavors. By leveraging Colab's features and capabilities, these companies have been able to accelerate their data analysis, model training, and decision-making processes, ultimately gaining a competitive edge in the dynamic tech landscape.
Vous pouvez accéder à une liste actualisée des entreprises utilisant Google Colab en visitant TheirStack.com. Notre plateforme fournit une base de données complète des entreprises utilisant diverses technologies et outils internes.
À ce jour, nous disposons de données sur 393 entreprises qui utilisent Google Colab.
Google Colab est utilisé par une large gamme d'organisations dans divers secteurs, y compris "Software Development", "Broadcast Media Production And Distribution", "It Services And It Consulting", "Software Development", "E-Learning Providers", "Transportation, Logistics, Supply Chain And Storage", "Research Services", "Advertising Services", "Internet Marketplace Platforms", "Higher Education". Pour une liste complète de tous les secteurs utilisant Google Colab, veuillez visiter TheirStack.com.
Certaines des entreprises qui utilisent Google Colab incluent RCA, Springer Nature, Sandav, Porter, appliedAI, VESTIGAS GmbH, WorldFish, iPullRank, foodpanda, Colorado State University et bien d'autres encore. Vous pouvez trouver une liste complète des 393 entreprises qui utilisent Google Colab sur TheirStack.com.
Selon nos données, Google Colab est le plus populaire dans États-Unis (128 companies), Royaume-Uni (34 companies), Allemagne (15 companies), France (13 companies), Espagne (12 companies), Inde (11 companies), Canada (10 companies), Brésil (9 companies), Australie (5 companies), Mexique (5 companies). Toutefois, il est utilisé par des entreprises du monde entier.
Vous pouvez trouver des entreprises utilisant Google Colab en le recherchant sur TheirStack.com. Nous suivons les offres d'emploi de millions d'entreprises et les utilisons pour découvrir quelles technologies et outils internes elles emploient.