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393
कंपनियाँ
हमारे पास 393 कंपनियों के डेटा हैं जो Google Colab का उपयोग करती हैं। यह क्यूरेटेड सूची डाउनलोड के लिए उपलब्ध है और इसमें उद्योग वर्गीकरण, संगठन का आकार, भौगोलिक स्थान, फंडिंग राउंड्स, और राजस्व आंकड़ों सहित महत्वपूर्ण कंपनी विवरण शामिल हैं।
कंपनी | देश | उद्योग | कर्मचारी | राजस्व |
---|---|---|---|---|
RCA | Software Development | 1.1K | ||
Springer Nature | Broadcast Media Production And Distribution | 12K | $2B | |
Sandav | It Services And It Consulting | 127 | ||
Porter | Software Development | 10K | $15M | |
appliedAI | E-Learning Providers | 93 | ||
VESTIGAS GmbH | Transportation, Logistics, Supply Chain And Storage | 11 | ||
WorldFish | Research Services | 603 | $2.3M | |
iPullRank | Advertising Services | 21 | $2.4M | |
foodpanda | Internet Marketplace Platforms | 14K | $14M | |
Colorado State University | Higher Education | 16K | ||
Neurostellar | Mental Health Care | 10 | ||
Technische Universität München | Defense And Space Manufacturing | 9.3K | $700M |
क्या आप पूरी सूची डाउनलोड करना चाहते हैं?
साइन अप करें और 393 कंपनियों की पूरी सूची डाउनलोड करें
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टेक्नोलॉजी उपयोग सांख्यिकी और बाजार हिस्सेदारी
आप इस डेटा को अपनी आवश्यकताओं के अनुसार फिल्टर करके अनुकूलित कर सकते हैं, जैसे भूगोल, उद्योग, कंपनी का आकार, राजस्व, तकनीक का उपयोग, नौकरी पद और अधिक। आप डेटा को Excel या CSV प्रारूप में डाउनलोड कर सकते हैं।
आप इस डेटा के लिए अलर्ट प्राप्त कर सकते हैं। आप उस तकनीक का चयन करके शुरुआत कर सकते हैं जिसमें आप रुचि रखते हैं और फिर आपको अपने इनबॉक्स में अलर्ट प्राप्त होंगे जब नई कंपनियां उस तकनीक का उपयोग कर रही होंगी।
आप Theirstack के डेटा को एक Excel फ़ाइल में निर्यात कर सकते हैं, जिसे आपके CRM में आयात किया जा सकता है। आप डेटा को एक API में भी निर्यात कर सकते हैं।
Google Colab का उपयोग 28 देशों में किया जाता है
8 विकल्प Google Colab के हैं
अक्सर पूछे जाने वाले सवाल
हमारा डेटा लाखों कंपनियों से एकत्रित नौकरी पोस्टिंग से प्राप्त होता है। हम इन पोस्टिंग को कंपनी वेबसाइटों, नौकरी बोर्डों, और अन्य भर्ती प्लेटफार्मों पर निगरानी करते हैं। नौकरी पोस्टिंग का विश्लेषण करने से कंपनियों द्वारा उपयोग की जा रही तकनीकों को समझने के लिए एक विश्वसनीय विधि मिलती है, जिसमें उनके आंतरिक उपकरणों का उपयोग भी शामिल है।
हम अपने डेटा को दैनिक रूप से ताज़ा करते हैं ताकि यह सुनिश्चित किया जा सके कि आप सबसे अद्यतित जानकारी तक पहुँच रहे हैं। यह बार-बार अद्यतन प्रक्रिया यह गारंटी देती है कि हमारे अंतर्दृष्टि और बुद्धिमत्ता उद्योग के नवीनतम विकास और रुझानों को दर्शाती हैं।
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.
आप TheirStack.com पर जाकर Google Colab का उपयोग करने वाली कंपनियों की अद्यतन सूची प्राप्त कर सकते हैं। हमारा प्लेटफ़ॉर्म विभिन्न तकनीकों और आंतरिक उपकरणों का उपयोग करने वाली कंपनियों का एक व्यापक डेटाबेस प्रदान करता है।
अभी तक, हमारे पास 393 कंपनियों के बारे में डेटा है जो Google Colab का उपयोग करती हैं।
Google Colab का उपयोग विभिन्न उद्योगों सहित "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" में कई संगठनों द्वारा किया जाता है। Google Colab का उपयोग करने वाले सभी उद्योगों की विस्तृत सूची के लिए, कृपया TheirStack.com पर जाएं।
कुछ कंपनियाँ जो Google Colab का उपयोग करती हैं, उनमें RCA, Springer Nature, Sandav, Porter, appliedAI, VESTIGAS GmbH, WorldFish, iPullRank, foodpanda, Colorado State University और कई अन्य शामिल हैं। आप TheirStack.com पर Google Colab का उपयोग करने वाली 393 कंपनियों की पूरी सूची पा सकते हैं।
हमारे डेटा के आधार पर, Google Colab (128 companies), (34 companies), (15 companies), (13 companies), (12 companies), (11 companies), (10 companies), (9 companies), (5 companies), (5 companies) में सबसे लोकप्रिय है। हालांकि, इसे दुनिया भर की कंपनियों द्वारा उपयोग किया जाता है।
आप TheirStack.com पर Google Colab का उपयोग करने वाली कंपनियों को खोजकर पा सकते हैं, हम लाखों कंपनियों की नौकरी पोस्टिंग को ट्रैक करते हैं और इसका उपयोग करके पता लगाते हैं कि वे कौन सी तकनीक और आंतरिक टूल का उपयोग कर रहे हैं।